Abe Gong | Co-Founder & CEO | Great Expectations
Praneeth Vepakomma | Researcher | Massachusetts Institute of Technology
Arun Krishnaswamy | Lead Data Scientist | Workday
Rupa Parameswaran | Security Architect | Demandbase
Soups Ranjan | Head of Financial Crime Risk | Revolut
Abe Gong is a core contributor to the Great Expectations open source library, and CEO and Co-founder at Superconductive. Prior to Superconductive, Abe was Chief Data Officer at Aspire Health, the founding member of the Jawbone data science team, and lead data scientist at Massive Health.
Abe has been leading teams using data and technology to solve problems in health care, consumer wellness, and public policy for over a decade. Abe earned his PhD at the University of Michigan in Public Policy, Political Science, and Complex Systems. He speaks and writes regularly on data, healthcare, and data ethics. Abe is on twitter @AbeGong.
Praneeth Vepakomma is currently a grad student and researcher at MIT in Camera Culture research group where his focus is on developing algorithms to support distributed and collaborative machine learning. He was previously a scientist at Amazon, Motorola Solutions and at various startups all of which were successfully acquired.
Arun Krishnaswamy is a lead data scientist at workday, where he is focusing on building next gen threat intelligence platform, empowering the security team’s capabilities to fight fraud at scale. Arun has extensive technology and management experience—he has built teams from scratch at multiple startups and at VISA, Microsoft , Yahoo. Prior to joining Workday, Arun worked as a Senior Director at One Market focused on building ML Solutions combining physical and digital assets of a shopper and worked extensively around customer privacy issues.
Rupa Parameswaran is a seasoned security professional with a passion for data protection and privacy. Her interest in data privacy dates back to graduate school where she chose privacy-preserving data mining as her PhD research topic and graduated with a PhD thesis on privacy-preserving data mining techniques for recommendation systems. She has been active in the field for over 15 years with a combination of research and industry experience in the area of security, data protection, and privacy.
Soups Ranjan heads Financial Crime Risk at Revolut, the fastest growing challenger bank in Europe. He leads the team in charge of preventing financial crime on Revolut’s platform using data science and machine learning. Soups has 14 years of experience applying machine learning to domains ranging from network security to advertising and cryptocurrencies. Prior to Revolut, Soups was the director of data science and risk at Coinbase, one of the largest cryptocurrency exchanges in the world.
At Coinbase, Soups built many engineering teams from the ground up including data, risk and identity. Soups is the co-founder of RiskSalon.org, a roundtable forum for risk professionals in San Francisco and Seattle to share ideas on stopping financial crime. Soups holds a PhD in ECE focused on network security from Rice University. Soups currently lives in Berkeley with his family.
