Organizers
- Suman Bhattacharya
Suman Bhattacharya has 18+ years of analytics and data science experience spanning across academia and industry. He currently leads growth data science in Docusign where he leads a data science team that focuses on experimentation and personalization. Before Docusign, he led the experimentation data science team at Uber where he and his team built Uber’s internal platform for experimentation and audience engagement.
Suman holds a PhD in Physics , have more than 30 publications, mostly around big data analytics and statistical applications in the field of Computational Cosmology.
- Kanad Basu
Kanad Basu has 18+ years of analytics and data science experience spanning across academia and industry. He currently leads market research data science in Medallia where he leads a data science team that focuses on building a consumer behavioral intelligence and benchmarking platform that combines millions of consumer activities to allow businesses to understand where, how, and why consumers spend their time and money. Before Medallia, he led the computer vision data science team at Covisus where he and his team implemented state of the art computer vision algorithms to keep our nation safe by securing supply chains, protecting global compliance for pharmaceutical and medical industries and aiding brands in the prevention of product tampering.
Kanad holds a PhD in Applied & Computational Mathematics, has multiple publications,patents & book chapters around big data analytics and statistical applications in the field of Mathematical Biology & Mathematical Finance.
Description and Industry Forum:
Abstract
Data science is becoming increasingly important and inseparable for the various applications in sciences and engineering. For example, risk management is a very important area for financial institutions, responsible for a company’s security, trustworthiness, and strategic decisions. The approaches to handling risk management have changed significantly over the past years, transforming the nature of the finance sector. As never before, various data science models today define the direction of development of business development. Similarly, in medical devices applications, gathering data and providing insights about personal health has become a flourishing area. The purpose of this session is to explore this interaction between data science and various areas where data science is applied today.
Scope
Data Science, Mathematics, Statistics, ML, AI
Outline:
We propose an industry forum where we invite industry practitioners.
It’s going to be a 1 day conference where practitioners will deliver talks.
Importance and Timeliness:
- data has become such an ubiquity today from sensors in windmills collecting data for predictive maintenance to medical data used to predict a patient’s health.
- Applications of AI and ML are vast and numerous, as such a 1 day industry forum can help bring experts in the area together and help make important advancement
Planned Format:
- Industry forum: 1 day, industry and academic practitioners delivering talks on topics of their choice that showcase applications of AI, ML and data science
Potential Participants for the Industry Forum:
- Aravind Cheruvelli, Director, Walmart
- Tanumoy Ghosh, Sr. Director , Nike
- Anirban Deb, Sr. Vice President, Target
- Sudeep Das, Sr. Data Scientist , Netflix
- Michael Proksch, Head of Subject Matter Experts/Customer Success, H2o.ai
- Biswajit Pal, Director-Data Engineering, Analytics & Insights, Tata CLIQ, India
- Eric Eager, Vice President, Research & Development, Pro Football Focus
- Eric Weber, Sr. Director, Data Science, Experimentation & Causal Inference, Stitch Fix
- Murali Sankar Venkatraman, Director(Data Analytics & AI), Energy, Water and Food, ENOWA, Riyadh, Saudi Arabia
- Haichun Chen, Engineering Leader, Machine Learning, Airbnb