What we're about
Upcoming events (1)
We are excited to invite you to join together with your fellow Data Scientists on October, 30th at ODSC Conference Meetup. Schedule: 6:15 pm - 6:45 pm - Networking 6:45 pm - 7:30 pm - Session 1 + Q&A 7:30 pm - 8:15 pm - Session 2 + Q&A Agenda: Session 1 - 35 mins + 10 min Q&A Speaker: Dr. Anju Kambadur, Head of AI Engineering at Bloomberg https://www.linkedin.com/in/anju-kambadur-48aa78162/ Bio: Dr. Prabhanjan (Anju) Kambadur heads the AI Engineering group at Bloomberg. Anju leads a group of 100+ researchers and engineers who build solutions for Bloomberg clients in the areas of machine learning, natural language processing (NLP) and natural language understanding, information extraction, knowledge graphs, question answering, and table understanding. Previously, Anju was a research staff member in the Business Analytics and Mathematical Sciences Department at IBM Research’s Thomas J. Watson Research Center, where he worked on problems in machine learning, such as matrix sketching, genome-wide association studies, temporal causal modeling, and high-performance computing. He received his Ph.D. from Indiana University. Anju has published peer-reviewed articles in the fields of high-performance computing, machine learning, and natural language processing. Session 2 - 35 mins + 10 min Q&A Speaker: Sanjana Ramprasad, Machine Learning Engineer at Mya Systems https://www.linkedin.com/in/sanjana-ramprasad/ Bio: Sanjana started off with leveraging machine learning algorithms for political data where she worked on drawing inferences from expenditures data for the presidential election cycle. She received her Masters in Computer Science with a specialization in Artificial Intelligence and spent a year working on her thesis for learning to identify writers based on handwriting using neural networks. Sanjana now works on Conversational AI, researching and developing NLP techniques for Mya Systems. Having worked on the applications of machine/deep learning on political and forensic data, she intends to identify and work on unique problems that can be solved using deep learning/machine learning.