Shane Butler is a Principal Data Scientist at Ontra, where he leads AI evaluation strategy for product development in legal tech. He has 10+ years of experience in product data science, causal inference, and measurement across both B2B SaaS and consumer products, with prior roles at Stripe, Nextdoor, AppFolio, and PwC. His work focuses on practical, end-to-end methods for evaluating AI features in production, connecting offline quality signals to real user and business outcomes. Shane is also the co-host of the AI podcast Data Neighbor, where he interviews product, data, and engineering leaders shaping the next generation of analytics in an AI-driven landscape.
", "headline": "Principal Data Scientist @ Ontra ", "title": "Principal Data Scientist @ Ontra | Ex-Stripe, Nextdoor, PwC, Appfolio", "linkedin_url": "https://www.linkedin.com/in/shaneausleybutler/", "twitter_handle": null, "custom_social_link": "https://substack.com/@sabutler?", "logos": {"logos": [{"image_url": "https://asset.brandfetch.io/idxAg10C0L/idcVaYaqmU.svg", "type": "logo", "file_type": "svg", "uuid": "e98245a0-084d-4d60-80e9-eee536f7b954", "name": "Stripe"}, {"image_url": "https://asset.brandfetch.io/idQKUi61nl/idcQVi6Svx.svg", "type": "logo", "file_type": "svg", "uuid": "22bb54ec-1bfe-431b-a752-d08f6a6125a6", "name": "Nextdoor"}, {"image_url": "https://asset.brandfetch.io/idDNlITzR1/idOW-eBZ3u.png", "type": "logo", "file_type": "png", "uuid": "184a791a-90e4-4a79-afd2-76a066a88932", "name": "PwC India"}, {"image_url": "https://asset.brandfetch.io/id8AJtesvE/idIM0mZ2DQ.svg", "type": "logo", "file_type": "svg", "uuid": "871b5116-43d8-4a22-9cab-aa8338ee51e1", "name": "Ontra"}, {"image_url": "https://asset.brandfetch.io/idVVIcX1XO/id2w1tGpDN.svg", "type": "logo", "file_type": "svg", "uuid": "19e55d4d-bd60-42c3-b282-0315db128267", "name": "AppFolio"}], "label": null}, "highlights": null, "highlights_html": "Sravya Madipalli is a Senior Manager of Data Science with 14+ years of experience helping teams make better decisions with data.
She has built and led data science and product analytics teams at Microsoft, eBay, Nextdoor, and Superhuman (prev. Grammarly), working closely with product, engineering, marketing, and leadership. Her expertise spans experimentation, metrics design, modeling, analytics, and translating complex user behavior into clear, actionable insights.
Sravya is known for mentoring data scientists and non-data partners to think analytically, asking sharper questions, interpreting results with confidence, and making decisions even when data is imperfect.
In this course, she brings real-world, big-tech analytical frameworks, adapted for modern teams using AI as a copilot.
", "headline": "Data Science Leader |Ex-Microsoft", "title": "Data Science Leader@Superhuman (Prev. Grammarly)| Ex-Microsoft, eBay, Nextdoor", "linkedin_url": "https://www.linkedin.com/in/sravyamadipalli/", "twitter_handle": null, "custom_social_link": null, "logos": {"logos": [{"image_url": "https://asset.brandfetch.io/idchmboHEZ/idc7I0n_oy.svg", "type": "logo", "file_type": "svg", "uuid": "aaae3351-b734-44a5-9173-253cc17f7ef9", "name": "Microsoft"}, {"image_url": "https://asset.brandfetch.io/idjTS-RPU1/ideoRL0Xqo.svg", "type": "logo", "file_type": "svg", "uuid": "9dbaa354-c4e4-490f-bd50-942439bb6cbc", "name": "eBay"}, {"image_url": "https://asset.brandfetch.io/idQKUi61nl/idcQVi6Svx.svg", "type": "logo", "file_type": "svg", "uuid": "f3d2c5b9-1bda-45c2-837f-da33193b413f", "name": "Nextdoor"}, {"image_url": "https://asset.brandfetch.io/iddd_fYAYR/idtJ2bTuQm.svg", "type": "logo", "file_type": "svg", "uuid": "3fcc9a1d-2196-448b-916e-0338c244f441", "name": "Grammarly"}, {"image_url": "https://asset.brandfetch.io/id_4JNEAzK/id6oy3jA91.svg", "type": "logo", "file_type": "svg", "uuid": "11705b92-9eef-4a7c-a7b9-fdcd0b8d08ee", "name": "Superhuman"}], "label": null}, "highlights": null, "highlights_html": "Hai Guan has spent 16+ years teaching data professionals, PMs, designers, and leaders to think analytically - because the best decisions happen when everyone speaks the language of data.
At Nextdoor, LinkedIn, Pinterest, and Meta, he built and scaled data teams that transformed how companies make product decisions. His teams drove projects that doubled user acquisition, scaled products to IPO, and launched business units that became growth engines.
What sets Hai apart: he has mentored hundreds of non-data professionals to ask better questions, interpret results confidently, and make decisions without waiting for an analyst.
This course brings FAANG-level analytical frameworks to students ready to think independently and move fast with AI as their copilot.
", "headline": "Head of Data @ Ontra AI | Ex-LinkedIn", "title": "Head of Data @ Ontra | Ex-Nextdoor, LinkedIn, Pinterest, Meta", "linkedin_url": "https://www.linkedin.com/in/hai-guan-6b58a7a/", "twitter_handle": null, "custom_social_link": "https://substack.com/@haiguan?", "logos": {"logos": [{"image_url": "https://asset.brandfetch.io/id8AJtesvE/idIM0mZ2DQ.svg", "type": "logo", "file_type": "svg", "uuid": "b69a1b9f-1f9e-459e-92e1-f0e1c86deadf", "name": "Ontra"}, {"image_url": "https://asset.brandfetch.io/idQKUi61nl/idcQVi6Svx.svg", "type": "logo", "file_type": "svg", "uuid": "2e6111c1-b17d-4d6c-8241-b2d69ff7e073", "name": "Nextdoor"}, {"image_url": "https://asset.brandfetch.io/idJFz6sAsl/idnwC5pGyX.svg", "type": "logo", "file_type": "svg", "uuid": "676bf39d-febe-4f60-9093-851a2642b78c", "name": "LinkedIn"}, {"image_url": "https://asset.brandfetch.io/idGP0S1Jjj/idcnOHB0Ba.svg", "type": "logo", "file_type": "svg", "uuid": "fe300f78-cb4a-4736-b8b1-97a06c02f0c3", "name": "Pinterest"}, {"image_url": "https://asset.brandfetch.io/idWvz5T3V7/idpvCl_Ipb.svg", "type": "logo", "file_type": "svg", "uuid": "48e8affa-c5f5-474e-8fc4-183dc1f99dfd", "name": "Meta"}], "label": "Hai has worked at:"}, "highlights": null, "highlights_html": "Shane Butler is a Principal Data Scientist at Ontra, where he leads evaluation strategy for AI product development in the legal tech domain. He has more than ten years of experience in product data science and causal inference, with prior roles at Stripe, Nextdoor, and PwC. Shane is also the co-host of the AI podcast Data Neighbor, where he interviews product, data, and engineering leaders who are pioneering the next generation of data science and analytics in an AI-driven landscape.
", "headline": "", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/yx08lFBXSDaPoKkXASr4_pnYUHsaITdrgnDHhoQol_shane_butler_headshot201.webp", "highlights": null, "linkedin_url": null, "twitter_handle": null, "highlights_html": null, "image_url_no_bg": null, "custom_social_link": null}, {"name": "Sravya Madipalli", "uuid": "4cea767d-a835-40d7-9538-fa5a32d1051e", "logos": {"label": "", "logos": []}, "title": "Senior Manager, Data Science @Superhuman (Prev. Grammarly)| Ex-Microsoft", "bio_html": "Sravya Madipalli is a Senior Manager of Data Science with 14+ years of experience helping teams make better decisions with data. She has built and led data science and product analytics teams at Microsoft, eBay, Nextdoor, and Superhuman (prev. Grammarly), working closely with product, engineering, marketing, and leadership. Her expertise spans experimentation, metrics design, modeling, analytics, and translating complex user behavior into clear, actionable insights.
", "headline": "", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/Ta15vt7eTXeEAQUQ5OG3_EYjyD0RrQOWovPLgpAgA_Sravya.webp", "highlights": [], "linkedin_url": "", "twitter_handle": "", "highlights_html": null, "image_url_no_bg": null, "custom_social_link": ""}, {"name": "Hai Guan", "uuid": "6f564eb3-4a4d-486d-851d-257c32a2c601", "logos": {"label": "", "logos": []}, "title": "Head of Data at Ontra", "bio_html": "Hai Guan leads the data organization at Ontra, the leading legal tech AI solutions for private markets. He previously led Data Science & Analytics at LinkedIn, Nextdoor, Pinterest, and Meta. He's spent a decade teaching product development teams how to ask questions that actually drive decisions—and now teaches how to combine that judgment with AI to move 10x faster.
", "headline": "", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/CpV4cnHrRaeM1FPwp5h9_gTDMlYpvSHycWzSunQ9n_hai_headshot.webp", "highlights": [], "linkedin_url": "", "twitter_handle": "", "highlights_html": null, "image_url_no_bg": null, "custom_social_link": ""}], "learning_outcomes": [{"uuid": "83acaae3-48d1-4229-9ef2-1191408f52ae", "title": "Apply a 3-question framework before picking a chart", "description": "Ask what decision the chart supports, what comparison it shows, and who's reading it—before touching any tool."}, {"uuid": "45d78daf-c18d-46dd-9f8b-46da9a3826a2", "title": "Use Claude to reason through visualization choices", "description": "Prompt Claude to diagnose your dataset and explain why one chart type fits the question better than another."}, {"uuid": "f6bcffeb-6ba1-4521-a2d7-bd452f285a6a", "title": "Build a polished dashboard with Claude Code in minutes", "description": "Turn a raw CSV into a multi-panel executive dashboard with annotated charts and a written recommendation-in one session."}, {"uuid": "434f56b1-c0b7-402f-aa05-e9ed606359e2", "title": "Know what AI can and can't decide for you", "description": "AI executes visualizations instantly—but the question your chart answers is still your call. That judgment is the skill."}]}], "created_at": "2026-02-28T00:21:32.482802Z", "updated_at": "2026-02-28T00:21:43.512669Z", "theme": null, "attrs": {"type": "workshop", "is_canceled": false, "is_delisted": false, "connected_course_id": 18572, "course_stripe_promo_code_id": null}, "school_event": {"id": 7807, "slug": null, "title": "Data Visualization with Claude Code", "description": null, "start_datetime": "2026-03-25T19:00:00Z", "end_datetime": "2026-03-25T20:00:00Z", "start_date": "2026-03-25", "start_time": "12:00:00", "duration_min": 60, "timezone": "America/Los_Angeles", "has_internal_recording": true, "is_recording_public": true}, "num_signups": 800}, "relatedWorkshops": [{"id": 5990, "school_id": 15975, "is_visible_on_discovery_page": true, "is_canceled": false, "is_delisted": false, "connected_course_id": 18572, "workshop_tags": [{"id": 31, "tag_type": "category", "label": "Data & engineering", "slug": "engineering-ll", "description": null, "parent_tag_id": null}, {"id": 35, "tag_type": "category", "label": "AI", "slug": "ai-ll", "description": null, "parent_tag_id": null}, {"id": 137, "tag_type": "internal_collection", "label": "Instructor", "slug": "Instructor", "description": null, "parent_tag_id": null}, {"id": 290, "tag_type": "persona", "label": "For Product Managers", "slug": "for-product-managers", "description": null, "parent_tag_id": null}, {"id": 293, "tag_type": "persona", "label": "For Engineers", "slug": "for-engineers", "description": null, "parent_tag_id": null}, {"id": 313, "tag_type": "topic", "label": "AI", "slug": "ai", "description": null, "parent_tag_id": null}, {"id": 327, "tag_type": "topic", "label": "Analytics", "slug": "analytics", "description": null, "parent_tag_id": null}, {"id": 426, "tag_type": "topic", "label": "Claude Code", "slug": "claude-code", "description": null, "parent_tag_id": null}], "published_content_page": {"id": 9044, "school_id": 15975, "slug": "66f451", "content_page_type": "workshop", "sections": [{"uuid": "2f65b6d9-9f9a-4f51-b14e-776d97df303b", "title": "Design Product Analysis with Claude Code", "version": 1, "image_url": "https://d2426xcxuh3ht5.cloudfront.net/v8LO44aQFiyQd2SvskEb_Design%20Product%20Analyses%20%20with%20Claude%20Code%20(1).png", "is_visible": true, "topic_desc": "Analytics velocity is limited by ambiguity and rework, not compute. Claude Code lets you draft analysis designs fast, but speed only helps if the plan is decision-grade and defensible. This lesson teaches a standardized workflow for creating and pressure-testing analysis designs inside Claude Code, so you can move from idea to trusted decision faster, with fewer false conclusions.", "brand_logos": {"label": "Previously at", "logos": []}, "section_type": "main", "instructor_infos": [{"name": "Shane Butler", "uuid": "572925c3-99ec-4930-972d-7489a579a638", "logos": null, "title": "Principal Data Scientist at Ontra", "bio_html": "Shane Butler is a Principal Data Scientist at Ontra, where he leads evaluation strategy for AI product development in the legal tech domain. He has more than ten years of experience in product data science and causal inference, with prior roles at Stripe, Nextdoor, and PwC. Shane is also the co-host of the AI podcast Data Neighbor, where he interviews product, data, and engineering leaders who are pioneering the next generation of data science and analytics in an AI-driven landscape.
", "headline": "", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/23mDNdVoS5GwK4Er4Vc7_shane_butler_headshot.png", "highlights": null, "linkedin_url": null, "twitter_handle": null, "highlights_html": null, "image_url_no_bg": null, "custom_social_link": null}, {"name": "Hai Guan", "uuid": "3ed1c78b-77c7-4dc7-91a2-56629f4425ee", "logos": {"label": "", "logos": []}, "title": "Head of Data at Ontra", "bio_html": "Hai Guan leads the data organization at Ontra, the leading legal tech AI solutions for private markets. He previously led Data Science & Analytics at LinkedIn, Nextdoor, Pinterest, and Meta. He's spent a decade teaching product development teams how to ask questions that actually drive decisions—and now teaches how to combine that judgment with AI to move 10x faster.
", "headline": "", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/XCx35w3TyG63wfweySyg_hai_heashot.jpeg", "highlights": [], "linkedin_url": "", "twitter_handle": "", "image_url_no_bg": null, "custom_social_link": ""}, {"name": "Sravya Madipalli", "uuid": "749306f3-f181-4105-8ac6-4bd1ae306e71", "logos": {"label": "", "logos": []}, "title": "Senior Manager, Data Science \n@Superhuman (Prev. Grammarly)| Ex-Microsoft", "bio_html": "Sravya Madipalli is a Senior Manager of Data Science with 14+ years of experience helping teams make better decisions with data. She has built and led data science and product analytics teams at Microsoft, eBay, Nextdoor, and Superhuman (prev. Grammarly), working closely with product, engineering, marketing, and leadership. Her expertise spans experimentation, metrics design, modeling, analytics, and translating complex user behavior into clear, actionable insights.
", "headline": "", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/TAcWuS5gSryJJQVLCIeS_LinkedInWithBackground.jpg", "highlights": [], "linkedin_url": "", "twitter_handle": "", "image_url_no_bg": null, "custom_social_link": ""}], "learning_outcomes": [{"uuid": "97e169f6-05c8-443b-84af-3a70de1fc481", "title": "Turn vague requests into decision-grade briefs", "description": "Use Claude Code to formalize the decision, success metrics, guardrails, and “what changes our mind” thresholds."}, {"uuid": "9cfc3d04-2ae7-4e59-8a39-2112617de6ef", "title": "Build a full analysis design doc in Claude Code", "description": "Generate a structured 1-pager: scope, cohorts, hypotheses, methods, outputs, plus risks and mitigations."}, {"uuid": "16b94c7b-d14b-469e-8aac-4811ba06dd19", "title": "Validate the plan in Claude Code before execution", "description": "Surface confounders, selection effects, baseline gaps, and scope creep. Add checks that reduce risk of failure."}, {"uuid": "e0d07ae8-f877-4136-8c99-e5c0ebebaa45", "title": "Join AI Builders Slack Community. Link: bit.ly/ai-connect", "description": "Learn Agentic Analytics workflows and AI Eval design. Get feedback on what you’re building from other AI builders."}]}], "created_at": "2026-03-30T18:23:19.148167Z", "updated_at": "2026-03-30T18:23:23.531673Z", "theme": null, "attrs": {"type": "workshop", "is_canceled": false, "is_delisted": false, "connected_course_id": 18572, "course_stripe_promo_code_id": null}, "school_event": {"id": 9044, "slug": null, "title": "Design Product Analysis with Claude Code", "description": null, "start_datetime": "2026-04-03T19:00:00Z", "end_datetime": "2026-04-03T20:00:00Z", "start_date": "2026-04-03", "start_time": "12:00:00", "duration_min": 60, "timezone": "America/Los_Angeles", "has_internal_recording": true, "is_recording_public": true}, "num_signups": 808}}, {"id": 5583, "school_id": 16095, "is_visible_on_discovery_page": true, "is_canceled": false, "is_delisted": false, "connected_course_id": 18611, "workshop_tags": [{"id": 35, "tag_type": "category", "label": "AI", "slug": "ai-ll", "description": null, "parent_tag_id": null}, {"id": 159, "tag_type": "internal_collection", "label": "LL non-instructor", "slug": "ll-non-instructor", "description": null, "parent_tag_id": null}, {"id": 298, "tag_type": "persona", "label": "For Everyone", "slug": "for-everyone", "description": null, "parent_tag_id": null}, {"id": 313, "tag_type": "topic", "label": "AI", "slug": "ai", "description": null, "parent_tag_id": null}, {"id": 426, "tag_type": "topic", "label": "Claude Code", "slug": "claude-code", "description": null, "parent_tag_id": null}], "published_content_page": {"id": 6425, "school_id": 16095, "slug": "747df1", "content_page_type": "workshop", "sections": [{"uuid": "dd80f61d-d005-4559-bc3d-fa491e460e25", "title": "Intro to Claude Code (for non-engineers)", "version": 1, "image_url": "https://d2426xcxuh3ht5.cloudfront.net/Tj7ZAtsQSHmNTMKdc6r2_Single%20Instructor%20-%20theme%20a.png", "is_visible": true, "topic_desc": "This 30-minute session shows you the difference between using AI and working with AI agents.\n\nExecute multi-step tasks end-to-end. This is the skill gap that separates AI-curious from AI-fluent professionals in 2026. \n\nA $20/mo Claude Pro plan (min) is required.", "brand_logos": {"label": "Previously at Shopify, Delphia (YC18)", "logos": [{"name": "Shopify.com", "type": "logo", "uuid": "4af16a25-9d8b-43bf-8c31-5622c87c381f", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idAgPm7IvG/id85L14isQ.svg"}]}, "section_type": "main", "instructor_infos": [{"name": "Ryan Smith", "uuid": "0dcd41cb-a18a-417f-984a-9886c5049624", "logos": null, "title": "CEO & Product Lead, Smith Horn Group (prev. Shopify, Delphia, Digital Animal)", "bio_html": "Ryan is an x-Shopify Product Leader, and prior deep learning founder, who shipped 6M+ lines of code on GitHub in 2025 with Claude Code. He holds a US Patent in computer vision, an MBA from UBC, and currently helps enterprise teams like Asana, Cloudinary, and Boeing adopt agentic AI workflows.
", "headline": "", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/KPGw0mwyR7WJaMRfyzWG_Ryan%20Smith.jpg", "highlights": null, "linkedin_url": null, "twitter_handle": null, "highlights_html": null, "image_url_no_bg": null, "custom_social_link": null}], "learning_outcomes": [{"uuid": "6a5438fe-23f7-4eaa-93ed-352afcbd71c1", "title": "Installation & First Launch", "description": "Install Claude Code in minutes. Launch a first session and understand the terminal interface that transforms work."}, {"uuid": "256bb3f8-8410-4099-9813-d23aa12aa656", "title": "AI-Powered Research", "description": "Research any topic: competitor analysis, market trends, or technical concepts. Synthesize sources, extract insights."}, {"uuid": "f30fcc91-f744-4f38-ad59-89b594b6a884", "title": "Document Generation", "description": "Create markdown documents, organize them into folders, and build a knowledge base you can reference."}]}], "created_at": "2026-02-12T21:06:54.439827Z", "updated_at": null, "theme": null, "attrs": {"type": "workshop", "is_canceled": false, "is_delisted": false, "connected_course_id": 18611, "course_stripe_promo_code_id": null}, "school_event": {"id": 6425, "slug": null, "title": "Intro to Claude Code (for non-engineers)", "description": null, "start_datetime": "2026-01-09T18:00:00Z", "end_datetime": "2026-01-09T18:30:00Z", "start_date": "2026-01-09", "start_time": "10:00:00", "duration_min": 30, "timezone": "America/Vancouver", "has_internal_recording": true, "is_recording_public": true}, "num_signups": 694}}, {"id": 2712, "school_id": 12006, "is_visible_on_discovery_page": true, "is_canceled": false, "is_delisted": false, "connected_course_id": 13144, "workshop_tags": [{"id": 31, "tag_type": "category", "label": "Data & engineering", "slug": "engineering-ll", "description": null, "parent_tag_id": null}, {"id": 35, "tag_type": "category", "label": "AI", "slug": "ai-ll", "description": null, "parent_tag_id": null}, {"id": 137, "tag_type": "internal_collection", "label": "Instructor", "slug": "Instructor", "description": null, "parent_tag_id": null}, {"id": 213, "tag_type": "internal_collection", "label": "The AI-Powered Super IC", "slug": "ai-powered-super-ic", "description": null, "parent_tag_id": null}, {"id": 293, "tag_type": "persona", "label": "For Engineers", "slug": "for-engineers", "description": null, "parent_tag_id": null}, {"id": 299, "tag_type": "persona", "label": "For Data Scientists", "slug": "for-data-scientists", "description": null, "parent_tag_id": null}, {"id": 313, "tag_type": "topic", "label": "AI", "slug": "ai", "description": null, "parent_tag_id": null}, {"id": 327, "tag_type": "topic", "label": "Analytics", "slug": "analytics", "description": null, "parent_tag_id": null}, {"id": 397, "tag_type": "internal_collection", "label": "Learn, Grow & Level Up", "slug": "maven-hq", "description": null, "parent_tag_id": null}], "published_content_page": {"id": 3539, "school_id": 12006, "slug": "ea7472", "content_page_type": "workshop", "sections": [{"uuid": "8426d9c6-3ba5-4e40-a391-06e60a01f290", "title": "AI-powered Data Analysis with Claude and MCP", "version": 1, "image_url": "https://d2426xcxuh3ht5.cloudfront.net/JjFZ1vDSQq6Gj7oU55ql_Single Instructor (1).png", "is_visible": true, "topic_desc": "AI is upending how data analysis is done. Work that used to take hours or days can be done in minutes, but only if you know the right tools and how to use them. In this lightning lesson, I'll share how you can use Claude and MCP (Model Context Protocol) to transform your data analysis workflow.", "brand_logos": {"label": "Previously at", "logos": [{"name": "Lyft", "type": "logo", "uuid": "866b829b-9caf-4aa7-8773-5fb348f69008", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idF3tki5X5/idLsGba5N3.svg"}, {"name": "Stripe", "type": "logo", "uuid": "a98ede9b-1ad5-4aa4-b7d8-7b0cd2f2c010", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idxAg10C0L/idATb3amIw.svg"}]}, "section_type": "main", "instructor_infos": [{"name": "George Xing", "uuid": "a9111534-9c4d-49f0-8590-8e119d3130a1", "title": "Product Lead for Data Products at Stripe, former Head of Analytics at Lyft.", "bio_html": "George has spent more than a decade working in data as a product builder, analytics leader, founder, and startup advisor.
He was head of analytics at Lyft from 2014-2020 and spearheaded data-driven decision-making at the company through a period of 100x growth.
After Lyft, George co-founded Supaglue, a data integrations company that raised funding from Benchmark Capital and exited to Stripe.
Currently, George is a product manager at Stripe leading the development of analytics and data products. In his free time, he enjoys making coffee with his v60 and going on long runs.
", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/JjjpjmMqQEiISk2dFZzr_HeadshotPro.png"}], "learning_outcomes": [{"uuid": "f0a7cc27-e764-48b5-892c-65f99bae415f", "title": "Easy, interactive data analysis in minutes", "description": "Learn the fastest way to do analytics on your data."}, {"uuid": "fefb10ec-3d0b-424e-b81f-33356596b6e1", "title": "Connect to data sources with MCP", "description": "Set up Claude for data analysis using Model Context Protocol (MCP)"}, {"uuid": "8fe78ac9-5d19-4957-a3a9-0f75cdd1afa6", "title": "Data exploration with Claude", "description": "Use Claude to explore, visualize, and analyze your data with natural language."}]}], "created_at": "2026-02-12T20:59:18.534479Z", "updated_at": null, "theme": null, "attrs": {"type": "workshop", "is_canceled": false, "is_delisted": false, "connected_course_id": 13144, "course_stripe_promo_code_id": null}, "school_event": {"id": 3539, "slug": null, "title": "AI-powered Data Analysis with Claude and MCP", "description": null, "start_datetime": "2025-04-23T16:00:00Z", "end_datetime": "2025-04-23T16:30:00Z", "start_date": "2025-04-23", "start_time": "09:00:00", "duration_min": 30, "timezone": "America/Los_Angeles", "has_internal_recording": true, "is_recording_public": true}, "num_signups": 415}}], "exploreCourses": null, "workshopTags": [{"id": 137, "tag_type": "internal_collection", "label": "Instructor", "slug": "Instructor", "description": null, "parent_tag_id": null}, {"id": 31, "tag_type": "category", "label": "Data & engineering", "slug": "engineering-ll", "description": null, "parent_tag_id": null}, {"id": 35, "tag_type": "category", "label": "AI", "slug": "ai-ll", "description": null, "parent_tag_id": null}, {"id": 327, "tag_type": "topic", "label": "Analytics", "slug": "analytics", "description": null, "parent_tag_id": null}, {"id": 290, "tag_type": "persona", "label": "For Product Managers", "slug": "for-product-managers", "description": null, "parent_tag_id": null}, {"id": 293, "tag_type": "persona", "label": "For Engineers", "slug": "for-engineers", "description": null, "parent_tag_id": null}, {"id": 426, "tag_type": "topic", "label": "Claude Code", "slug": "claude-code", "description": null, "parent_tag_id": null}, {"id": 313, "tag_type": "topic", "label": "AI", "slug": "ai", "description": null, "parent_tag_id": null}], "videoChapters": [{"title": "Introduction and Live Demo Setup", "start_seconds": 0}, {"title": "Scenario: Licensing Music for a Streaming Service", "start_seconds": 224}, {"title": "Comparing Vanilla vs. Agentic AI for Data Analysis", "start_seconds": 386}, {"title": "First Visualization: Top 10 Artists by Streams", "start_seconds": 506}, {"title": "Visualizing Audio Trends: Is Music Getting Sadder?", "start_seconds": 940}, {"title": "Analyzing the Link Between Danceability and Streams", "start_seconds": 1351}, {"title": "How to Validate AI-Generated Analysis", "start_seconds": 1668}, {"title": "Deconstructing the \"Audio Profile\" of Hit Songs", "start_seconds": 1906}, {"title": "Identifying Outliers: The Power of Emotional Music", "start_seconds": 2224}, {"title": "Final Recommendation for Music Licensing", "start_seconds": 2427}, {"title": "Automating a Full Report in Google Docs", "start_seconds": 2562}, {"title": "Q&A and Closing Remarks", "start_seconds": 2946}], "navPages": [{"category": {"slug": "ai", "href": "/courses/ai", "title": "AI", "palette": {"--palette-category-base": "#460952", "--palette-category-highlight": "#931FAA", "--palette-category-border": "#EDA6FB"}}, "topics": [{"title": "Agentic AI", "slug": "ai/agentic-ai", "href": "/courses/ai/agentic-ai"}, {"title": "Coding with AI", "slug": "ai/ai-coding", "href": "/courses/ai/ai-coding"}, {"title": "AI Workflows", "slug": "ai/ai-workflows", "href": "/courses/ai/ai-workflows"}, {"title": "Claude Code", "slug": "ai/claude-code", "href": "/courses/ai/claude-code"}, {"title": "OpenClaw", "slug": "ai/openclaw", "href": "/courses/ai/openclaw"}, {"title": "Vibe Coding", "slug": "ai/vibe-coding", "href": "/courses/ai/vibe-coding"}, {"title": "AI Evals", "slug": "ai/evals", "href": "/courses/ai/evals"}, {"title": "AI Transformation", "slug": "ai/ai-transformation", "href": "/courses/ai/ai-transformation"}, {"title": "RAG & Search", "slug": "ai/rag-search", "href": "/courses/ai/rag-search"}, {"title": "MCP", "slug": "ai/mcp", "href": "/courses/ai/mcp"}, {"title": "AI for PMs", "slug": "ai/for-product-managers", "href": "/courses/ai/for-product-managers"}, {"title": "AI for Engineers", "slug": "ai/for-engineers", "href": "/courses/ai/for-engineers"}, {"title": "AI for Designers", "slug": "ai/for-designers", "href": "/courses/ai/for-designers"}, {"title": "AI for Marketers", "slug": "ai/for-marketers", "href": "/courses/ai/for-marketers"}, {"title": "AI for Founders", "slug": "ai/for-founders", "href": "/courses/ai/for-founders"}]}, {"category": {"slug": "product", "href": "/courses/product", "title": "Product", "palette": {"--palette-category-base": "#510B00", "--palette-category-highlight": "#B33600", "--palette-category-border": "#F7804D"}}, "topics": [{"title": "AI for PMs", "slug": "for-product-managers/ai", "href": "/courses/for-product-managers/ai"}, {"title": "Agentic AI", "slug": "for-product-managers/agentic-ai", "href": "/courses/for-product-managers/agentic-ai"}, {"title": "AI Evals", "slug": "for-product-managers/ai-evals", "href": "/courses/for-product-managers/ai-evals"}, {"title": "Vibe Coding", "slug": "for-product-managers/vibe-coding", "href": "/courses/for-product-managers/vibe-coding"}, {"title": "Product Sense", "slug": "for-product-managers/product-sense", "href": "/courses/for-product-managers/product-sense"}, {"title": "Product Discovery", "slug": "for-product-managers/product-discovery", "href": "/courses/for-product-managers/product-discovery"}, {"title": "User Research", "slug": "for-product-managers/user-research", "href": "/courses/for-product-managers/user-research"}, {"title": "Prototyping", "slug": "for-product-managers/prototyping", "href": "/courses/for-product-managers/prototyping"}, {"title": "Growth", "slug": "for-product-managers/growth", "href": "/courses/for-product-managers/growth"}, {"title": "Analytics", "slug": "for-product-managers/analytics", "href": "/courses/for-product-managers/analytics"}, {"title": "Tech Foundations", "slug": "for-product-managers/technical-foundations", "href": "/courses/for-product-managers/technical-foundations"}, {"title": "Strategy", "slug": "for-product-managers/strategy", "href": "/courses/for-product-managers/strategy"}, {"title": "Influence", "slug": "for-product-managers/influence", "href": "/courses/for-product-managers/influence"}, {"title": "Leadership", "slug": "for-product-managers/leadership", "href": "/courses/for-product-managers/leadership"}, {"title": "Career Growth", "slug": "for-product-managers/career-growth", "href": "/courses/for-product-managers/career-growth"}]}, {"category": {"slug": "engineering", "href": "/courses/engineering", "title": "Engineering", "palette": {"--palette-category-base": "#00332F", "--palette-category-highlight": "#00746B", "--palette-category-border": "#88B7B2"}}, "topics": [{"title": "AI for Engineers", "slug": "for-engineers/ai", "href": "/courses/for-engineers/ai"}, {"title": "Agentic AI", "slug": "for-engineers/agentic-ai", "href": "/courses/for-engineers/agentic-ai"}, {"title": "Coding with AI", "slug": "for-engineers/ai-coding", "href": "/courses/for-engineers/ai-coding"}, {"title": "Claude Code", "slug": "for-engineers/claude-code", "href": "/courses/for-engineers/claude-code"}, {"title": "OpenClaw", "slug": "for-engineers/openclaw", "href": "/courses/for-engineers/openclaw"}, {"title": "MCP", "slug": "for-engineers/mcp", "href": "/courses/for-engineers/mcp"}, {"title": "RAG & Search", "slug": "for-engineers/rag-search", "href": "/courses/for-engineers/rag-search"}, {"title": "AI Evals", "slug": "for-engineers/ai-evals", "href": "/courses/for-engineers/ai-evals"}, {"title": "Machine Learning", "slug": "for-engineers/ml", "href": "/courses/for-engineers/ml"}, {"title": "LLM Ops", "slug": "for-engineers/llm-ops", "href": "/courses/for-engineers/llm-ops"}, {"title": "Context Eng", "slug": "for-engineers/context-engineering", "href": "/courses/for-engineers/context-engineering"}, {"title": "Security", "slug": "for-engineers/security", "href": "/courses/for-engineers/security"}, {"title": "System Design", "slug": "for-engineers/system-design", "href": "/courses/for-engineers/system-design"}, {"title": "Leadership", "slug": "for-engineers/leadership", "href": "/courses/for-engineers/leadership"}, {"title": "Career Growth", "slug": "for-engineers/career-growth", "href": "/courses/for-engineers/career-growth"}]}, {"category": {"slug": "design", "href": "/courses/design", "title": "Design", "palette": {"--palette-category-base": "#38085F", "--palette-category-highlight": "#772CBB", "--palette-category-border": "#B5A2D0"}}, "topics": [{"title": "AI for Designers", "slug": "for-designers/ai", "href": "/courses/for-designers/ai"}, {"title": "Agentic AI", "slug": "for-designers/agentic-ai", "href": "/courses/for-designers/agentic-ai"}, {"title": "Vibe Coding", "slug": "for-designers/vibe-coding", "href": "/courses/for-designers/vibe-coding"}, {"title": "Prototyping", "slug": "for-designers/prototyping", "href": "/courses/for-designers/prototyping"}, {"title": "Figma", "slug": "for-designers/figma", "href": "/courses/for-designers/figma"}, {"title": "Design Systems", "slug": "for-designers/design-systems", "href": "/courses/for-designers/design-systems"}, {"title": "User Research", "slug": "for-designers/user-research", "href": "/courses/for-designers/user-research"}, {"title": "Product Discovery", "slug": "for-designers/product-discovery", "href": "/courses/for-designers/product-discovery"}, {"title": "UX", "slug": "for-designers/ux", "href": "/courses/for-designers/ux"}, {"title": "UI", "slug": "for-designers/ui", "href": "/courses/for-designers/ui"}, {"title": "Visual Design", "slug": "for-designers/visual-design", "href": "/courses/for-designers/visual-design"}, {"title": "Design Strategy", "slug": "for-designers/strategy", "href": "/courses/for-designers/strategy"}, {"title": "Influence", "slug": "for-designers/influence", "href": "/courses/for-designers/influence"}, {"title": "Leadership", "slug": "for-designers/leadership", "href": "/courses/for-designers/leadership"}, {"title": "Career Growth", "slug": "for-designers/career-growth", "href": "/courses/for-designers/career-growth"}]}, {"category": {"slug": "marketing", "href": "/courses/marketing", "title": "Marketing", "palette": {"--palette-category-base": "#431532", "--palette-category-highlight": "#943170", "--palette-category-border": "#C99EB5"}}, "topics": [{"title": "AI for Marketers", "slug": "for-marketers/ai", "href": "/courses/for-marketers/ai"}, {"title": "Agentic AI", "slug": "for-marketers/agentic-ai", "href": "/courses/for-marketers/agentic-ai"}, {"title": "Vibe Coding", "slug": "for-marketers/vibe-coding", "href": "/courses/for-marketers/vibe-coding"}, {"title": "Automation", "slug": "for-marketers/marketing-automation", "href": "/courses/for-marketers/marketing-automation"}, {"title": "Content Marketing", "slug": "for-marketers/content-marketing", "href": "/courses/for-marketers/content-marketing"}, {"title": "Demand Gen", "slug": "for-marketers/demand-generation", "href": "/courses/for-marketers/demand-generation"}, {"title": "Go-to-Market", "slug": "for-marketers/gtm", "href": "/courses/for-marketers/gtm"}, {"title": "Product Marketing", "slug": "for-marketers/product-marketing", "href": "/courses/for-marketers/product-marketing"}, {"title": "Positioning", "slug": "for-marketers/positioning", "href": "/courses/for-marketers/positioning"}, {"title": "Social Media", "slug": "for-marketers/social-media", "href": "/courses/for-marketers/social-media"}, {"title": "Brand", "slug": "for-marketers/brand", "href": "/courses/for-marketers/brand"}, {"title": "B2B Marketing", "slug": "for-marketers/b2b", "href": "/courses/for-marketers/b2b"}, {"title": "SEO & AEO", "slug": "for-marketers/seo-aeo", "href": "/courses/for-marketers/seo-aeo"}, {"title": "Strategy", "slug": "for-marketers/strategy", "href": "/courses/for-marketers/strategy"}, {"title": "Leadership", "slug": "for-marketers/leadership", "href": "/courses/for-marketers/leadership"}]}, {"category": {"slug": "leadership", "href": "/courses/leadership", "title": "Leadership", "palette": {"--palette-category-base": "#50090E", "--palette-category-highlight": "#A9202A", "--palette-category-border": "#D49C98"}}, "topics": [{"title": "AI for Leaders", "slug": "for-leaders/ai", "href": "/courses/for-leaders/ai"}, {"title": "Agentic AI", "slug": "for-leaders/agentic-ai", "href": "/courses/for-leaders/agentic-ai"}, {"title": "AI Transformation", "slug": "for-leaders/ai-transformation", "href": "/courses/for-leaders/ai-transformation"}, {"title": "AI Governance", "slug": "for-leaders/ai-governance", "href": "/courses/for-leaders/ai-governance"}, {"title": "Communication", "slug": "for-leaders/communication", "href": "/courses/for-leaders/communication"}, {"title": "Influence", "slug": "for-leaders/influence", "href": "/courses/for-leaders/influence"}, {"title": "Strategy", "slug": "for-leaders/strategy", "href": "/courses/for-leaders/strategy"}, {"title": "Management", "slug": "for-leaders/management", "href": "/courses/for-leaders/management"}, {"title": "People Operations", "slug": "for-leaders/people-operations", "href": "/courses/for-leaders/people-operations"}, {"title": "Exec Presence", "slug": "for-leaders/executive-presence", "href": "/courses/for-leaders/executive-presence"}, {"title": "Storytelling", "slug": "for-leaders/storytelling", "href": "/courses/for-leaders/storytelling"}, {"title": "Goal-setting", "slug": "for-leaders/goal-setting", "href": "/courses/for-leaders/goal-setting"}, {"title": "Personal Brand", "slug": "for-leaders/personal-brand", "href": "/courses/for-leaders/personal-brand"}, {"title": "Career Growth", "slug": "for-leaders/career-growth", "href": "/courses/for-leaders/career-growth"}]}, {"category": {"slug": "founders", "href": "/courses/founders", "title": "Founders", "palette": {"--palette-category-base": "#0C3209", "--palette-category-highlight": "#077202", "--palette-category-border": "#69C662"}}, "topics": [{"title": "AI for Founders", "slug": "for-founders/ai", "href": "/courses/for-founders/ai"}, {"title": "Agentic AI", "slug": "for-founders/agentic-ai", "href": "/courses/for-founders/agentic-ai"}, {"title": "AI Workflows", "slug": "for-founders/ai-workflows", "href": "/courses/for-founders/ai-workflows"}, {"title": "Vibe Coding", "slug": "for-founders/vibe-coding", "href": "/courses/for-founders/vibe-coding"}, {"title": "Prototyping", "slug": "for-founders/prototyping", "href": "/courses/for-founders/prototyping"}, {"title": "Product Sense", "slug": "for-founders/product-sense", "href": "/courses/for-founders/product-sense"}, {"title": "Positioning", "slug": "for-founders/positioning", "href": "/courses/for-founders/positioning"}, {"title": "Product Discovery", "slug": "for-founders/product-discovery", "href": "/courses/for-founders/product-discovery"}, {"title": "Management", "slug": "for-founders/management", "href": "/courses/for-founders/management"}, {"title": "Strategy", "slug": "for-founders/strategy", "href": "/courses/for-founders/strategy"}, {"title": "Go-to-Market", "slug": "for-founders/gtm", "href": "/courses/for-founders/gtm"}, {"title": "Personal Brand", "slug": "for-founders/personal-brand", "href": "/courses/for-founders/personal-brand"}, {"title": "Leadership", "slug": "for-founders/leadership", "href": "/courses/for-founders/leadership"}, {"title": "Fundraising", "slug": "for-founders/fundraising", "href": "/courses/for-founders/fundraising"}, {"title": "PMF", "slug": "for-founders/product-market-fit", "href": "/courses/for-founders/product-market-fit"}]}, {"category": {"slug": "more", "href": "/courses/more", "title": "More", "palette": {"--palette-category-base": "#1E2C2B", "--palette-category-highlight": "#4A6361", "--palette-category-border": "#B9C1BE"}}, "topics": [{"title": "Everyone", "slug": "for-everyone", "href": "/courses/for-everyone"}, {"title": "Operators", "slug": "for-operators", "href": "/courses/for-operators"}, {"title": "Data Scientists", "slug": "for-data-scientists", "href": "/courses/for-data-scientists"}, {"title": "Business Analysts", "slug": "for-business-analysts", "href": "/courses/for-business-analysts"}, {"title": "User Researchers", "slug": "for-user-researchers", "href": "/courses/for-user-researchers"}, {"title": "Customer Success", "slug": "for-customer-success", "href": "/courses/for-customer-success"}, {"title": "Project Managers", "slug": "for-project-managers", "href": "/courses/for-project-managers"}, {"title": "HR Professionals", "slug": "for-hr-professionals", "href": "/courses/for-hr-professionals"}, {"title": "Sales People", "slug": "for-sales-people", "href": "/courses/for-sales-people"}, {"title": "Lawyers", "slug": "for-lawyers", "href": "/courses/for-lawyers"}, {"title": "Finance", "slug": "for-finance-professionals", "href": "/courses/for-finance-professionals"}, {"title": "Investors", "slug": "for-investors", "href": "/courses/for-investors"}, {"title": "Real Estate", "slug": "for-real-estate-agents", "href": "/courses/for-real-estate-agents"}, {"title": "Educators", "slug": "for-educators", "href": "/courses/for-educators"}, {"title": "Creators", "slug": "for-creators", "href": "/courses/for-creators"}]}], "navTagLinks": [{"tag": {"id": 327, "tag_type": "topic", "label": "Analytics", "slug": "analytics", "description": null, "parent_tag_id": null}, "link_slug": "for-product-managers/analytics"}, {"tag": {"id": 426, "tag_type": "topic", "label": "Claude Code", "slug": "claude-code", "description": null, "parent_tag_id": null}, "link_slug": "for-engineers/claude-code"}, {"tag": {"id": 290, "tag_type": "persona", "label": "For Product Managers", "slug": "for-product-managers", "description": null, "parent_tag_id": null}, "link_slug": "for-product-managers"}, {"tag": {"id": 293, "tag_type": "persona", "label": "For Engineers", "slug": "for-engineers", "description": null, "parent_tag_id": null}, "link_slug": "for-engineers"}], "now": "2026-05-19T23:48:21.340Z"}, "__N_SSG": true}, "page": "/p/[slug]/[...ignored]", "query": {"slug": "e30c5b", "ignored": ["data-visualization-with-claude-code"]}, "buildId": "qPlLjBFLQ9fnkFKJ7n7E-", "isFallback": false, "isExperimentalCompile": false, "gsp": true, "scriptLoader": []}}