Sri is co-founder and ceo of H2O (@h2oai), the builders of H2O. H2O democratizes bigdata science and makes hadoop do math for better predictions. Before H2O, Sri spent time scaling R over bigdata with researchers at Purdue and Stanford. Prior to that Sri co-founded Platfora and was the Director of Engineering at DataStax. Before that Sri was Partner & Performance engineer at java multi-core startup, Azul Systems, tinkering with the entire ecosystem of enterprise apps at scale.
David Carlson is a data scientist for Zurich North America.
Jeff Chapman has over 20 years of software development and IT management experience. As the Vice President of Enterprise Architecture & Enterprise Data Services at Capital One, his responsibilities include being the chief architect for the company and managing the IT data services delivery teams supporting all lines of business.
Matt is the main author of the data.table package in R. He has worked for some of the world’s largest financial organizations: Lehman Brothers, Salomon Brothers, Citigroup, Concordia Advisors and Winton Capital. He is particularly pleased that data.table is also used outside Finance, for example Genomics where large and ordered datasets are also researched.
Brendan Herger is a Data Scientist, helping to bring large scale machine learning to Capital One.
Vinod comes with over 7 years of Marketing & Data Science experience in multiple startups. He was the founding employee for his previous startup, Activehours , where he helped build the product and bootstrap the user acquisition with growth hacking. He has seen the user base for his companies grow from scratch to millions of customers. He’s built models to score leads, reduce churn, increase conversion, prevent fraud and many more use cases.
Conor Jensen is the Analytics Program Director for Zurich North America’s Predictive Analytics unit. He led the implementation of a new data infrastructure in addition to building the new team and refining the analytic development process. Conor has spent nearly a decade working in the analytics space, both in model development and as a model user.
Tom is VP of Engineering of Customer and Pre-Sales Engineering at H2O & key to the magic of engineering & customer happiness. A quintessential team member - Tom is an extraordinary blend of technical genius, customer focus and management by example. Before joining H2O, Tom was Co-founder & CTO at Luminix, where he and the team developed a cutting-edge offline mobile application for Salesforce users.
Mark Landry is a competition data scientist and product manager at H2O. He enjoys testing ideas in Kaggle competitions, where he is ranked in the top 100 in the world (top 0.03%) and well-trained in getting quick solutions to iterate over. Most at home in SQL, he found H2O through hacking in R. Interests are multi-model architectures and helping the world make fewer models that perform worse than the mean.
Erin is a Statistician and Machine Learning Scientist at H2O.ai. She is the main author of H2O Ensemble. Before joining H2O, she was the Principal Data Scientist at Wise.io and Marvin Mobile Security (acquired by Veracode in 2012) and the founder of DataScientific, Inc.
Michal is a geek, developer, Java, Linux, programming languages enthusiast developing software for over 10 years. He obtained PhD from the Charles University in Prague in 2012 and post-doc at Purdue University. During his studies he was interested in construction of not only distributed but also embedded and real-time component-based systems using model-driven methods and domain-specific languages.
Leland Wilkinson is Chief Scientist at H2O, and Adjunct Professor of Computer Science at the University of Illinois at Chicago. He wrote the SYSTAT statistical package and founded SYSTAT Inc. in 1984. Wilkinson is a Fellow of the American Statistical Association, a Fellow of the American Association for the Advancement of Science, and an elected member of the International Statistical Institute. In addition to journal articles and the original SYSTAT computer program and manuals, Wilkinson is the author of The Grammar of Graphics, the foundation for a number of commercial and open-source visual analytic systems (IBM-RAVE, Tableau, R-ggplot2, and Python-Bokeh).
About this conference
H2O is popping up in the Windy City, taking your clicks to the bricks for valuable face-to-face time with the community. Whether you're just getting started with H2O or you're a power user looking to expand your knowledge and skillset even more, join some of the greatest minds in machine learning and data science to learn how to transform your business. Are you a Data Scientist? Data Engineer? Business Analyst? We've got something for everyone. Whatever your stripes, you'll walk away knowing how to do more with your data.
H2O is the leading open source machine learning platform for smarter applications. H2O.ai is the silicon valley software company supporting and developing H2O. Leading insurance, healthcare and financial services companies are using H2O to make smarter predictions about churn, pricing, fraud and more. H2O.ai is fostering a grassroots movement of systems engineers, data scientists, data developers and predictive analysts to move machine learning forward. A rapidly growing community of H2O users is now active in more than 5,000 companies worldwide. H2O.ai is a Gartner Cool Vendor in Data Science for 2015.