Intercom Analytics Meetup
Join Intercom’s analytics team for a data-focused meetup at Intercom HQ – it promises to be an inspiring evening of talks and conversations with like-minded people.
You’ll learn not just how Intercom, but other companies we respect and admire, are shaping their organizations, developing a data culture, and having a real impact on their businesses. If you’re interested in data and the value it can bring to your organization, then this event is not to be missed.
Stick around afterwards – there will be plenty of snacks, drinks and opportunities for networking. We hope you can join us for what will be a great night!
Cost: $5 donation to Bayes Impact, a non-profit organization based in San Francisco who believe data science can be used to solve some of the world's most ambitious problems.
Wednesday, April 13th 2016
6:00pm - 6:30pm: Doors open, drinks, nibbles and networking
6:30pm - 8:15pm: Lightning Talks & Panel
8:15pm - 9:00pm: More drinks, nibbling and networking
Speakers & Talks
Scaling Analytics at Intercom
Bobby Pinero, Director of Finance & Analytics @ Intercom
Bobby leads Intercom's Finance and Analytics teams, responsible for all financial reporting and planning, as well as all internal measurement. He joined Intercom from Inflection, where he developed and owned financial reporting for their subscription based businesses. Previously he was with IBM, where he led forecasting for their services business. Bobby graduated from Stanford with a degree in Management Science & Engineering.
High Impact Analytics at Start-ups
Samson Hu, Data Engineer @ Wish
Samson was born on May 12, 1988. He made his first pie chart at the age of four and has been interested in data ever since. He's currently a software engineer at Wish working on the data platform. Previously, he led analytics at 500px and on a dataviz start-up called Polychart. He has experience with many of the problems faced by start-ups and early stage tech companies in getting value from data.
Highly Effective Data Science Teams
Drew Harry, Director of Science @ Twitch
Drew is Twitch's Director of Science, where he leads an interdisciplinary team of researchers who contribute to Twitch's most ambiguous decisions around the design and operation of Twitch's platform. He did his PhD at the MIT Media Lab. He is an ardent collector of obscure chat copypasta.
Beautiful Data: A Showcase of Highly Effective Data Models
Michelle Wetzler, Chief Data Scientist @ Keen IO
Michelle is Chief Data Scientist at Keen IO. She was the first non-founder to join the custom-analytics platform company, where she spends most of her time helping customers use the Keen IO API to accelerate their business with data - how to model it, collect it, analyze it, and share it. Prior to joining Keen IO, Michelle spent almost 6 years as a management consultant at Accenture, implementing enterprise level technology systems at Fortune 100 companies.
Kevin is a senior data scientist on Intercom's Product Analytics team. Previously, he led the quantitative insights effort at the Online Sportsbook BetBright. Kevin holds a PhD in Computer Science from University College Dublin, with research interests in recommender systems and online trust and reputation.
Dag is the Data Engineer at Intercom and is responsible for ensuring analysts and data scientists have access to the data they need. He was previously at Amazon Web Services as a Senior Support Engineer and before as a System Administrator in the Swedish government.
Visualizing sequences of user navigation
Kerry Rodden, Quantitative User Experience Researcher @ Google
Kerry Rodden is a senior staff user experience researcher at Google, who has worked on products including Search, Gmail, and YouTube. She originated the role of quantitative user experience researcher, analyzing large-scale usage data to inform product design. She has a PhD in human–computer interaction from the University of Cambridge, UK, and is currently interested in using data visualization to create compelling deliverables from UX research.
Helping People At Scale
Eric Liu, Founder @ Bayes Impact
Eric is the US Executive Director for Bayes Impact, a nonprofit that uses data to address pressing public interest problems. The organization is funded by Y Combinator and the Bill & Melinda Gates Foundation. Previously, Eric was a venture capitalist at Thomvest Ventures investing in data science companies. He was named "30 under 30" in social entrepreneurship by Forbes in 2016.
Panel: Building a world-class analytics team and setting them up for success
Clare Corthell, Founder @ Luminant Data Machine Intelligence Consultant
Clare is the founder of Luminant Data, a Machine Intelligence Consultancy. She was previously at Mattermark as the first machine learning engineer. She was previously a developer and designer at early-stage startups in the Bay Area, Germany, and East Africa. She is the author of The Open Source Data Science Masters (datasciencemasters.org) and a Stanford-trained designer and engineer.
Peter Fishman, VP Analytics @ Zenefits
Peter is VP of Growth & Analytics. Previously, he was Director of Analytics at Yammer and Principal Data Science Manager of Microsoft Office Analytics. Prior to joining Yammer he worked at Playdom/Disney and as a statistician for the Philadelphia Eagles. He holds a B.S. from Duke University and a Ph.D. in economics from UC Berkeley.
Jonathan Hsu, Partner, Head of Data Science @ Social Capital
Jonathan is currently a Partner and Head of Data Science at Social Capital. Prior to that he spent several years at Facebook where he helped build out the data science and analytics functions for the company. Before that he led the data team Slide, was one of the co-founders of SuperPoke, and was a PM at Microsoft. Prior to entering tech, Jonathan did his PhD in physics at Stanford where he studied black holes and cosmological inflation in string theory.
Deborah-Anna Reznek, Director of Data Analytics @ ClearSlide
Deborah-Anna (D-A) Reznek leads the data analytics team at ClearSlide - a broad team covering predictive analytics features in ClearSlide's product as well analytics and modeling support for internal functions such as product, sales, and marketing. Prior to ClearSlide, D-A has more than 10 years experience working on complex analytical problems at Hewlett-Packard, Logitech, and Deloitte. D-A has practiced data science in a wide variety of industries: enterprise software, consumer electronics, and energy markets.
Benn Stancil, Chief Analyst @ Mode
Benn is the co-founder and Chief Analyst of Mode, a startup building tools to help people easily create and share data analysis. At Mode, Benn leads internal analytics efforts and helps guide product development. Prior to Mode, Benn was a senior analyst at Microsoft and Yammer, where he helped lead product analytics. Benn also worked as an economic analyst at the Carnegie Endowment for International Peace in Washington, DC.
Karen Church, Product Analytics Manager @ Intercom
Karen leads Product Analytics at Intercom, a team focused on helping Intercom make informed product decisions using data. Previously, Karen spent 7+ years in industrial research labs. Most recently at Yahoo Research, she combined qualitative research and quantitative analysis to guide a range of mobile products including Aviate and Gemini. Karen has a PhD in Computer Science from University College Dublin where she investigated the nuances of mobile search.
Registration is not currently available.