Leader with an ability to bring ideas with commercial success by influencing stake holders and by building high performance teams.
I specialize in integrating artificial intelligence into product and business operations, focusing on Large Language Models (LLMs), generative AI and Deep Learning Models to drive strategic innovations. I delivered projects which created an ROI of $200M for our clients last year.
Leader with experience in AI Strategy, Technical expertise in statistical modeling, machine learning, deep learning and computer vision.
Good taking data science/ML to non-technical business audiences. Frequent speaker at local data science events.
18+ years of Industry and startup experience in Life Sciences, Health Care, Auto, Manufacturing and Finance.
Being a Data Enthusiast lead team of Data Scientists from IIT/IIMs at Goldman Sachs for Asset Management Risk and Market Data. Responsible for complete life cycle of project. Collaborated with team in New York and delivered large financial impacts. Spent time in New York office with senior leadership on team's direction, objectives and budgets
Built predictive modeling for Severe loss scenario analysis, what if analysis. Sentiment Analysis for Portfolio management. Built user segmentation using classification, clustering and market basket analysis for segmenting the products and customers
Built big data predictive analytics for market data budget prediction and usage analytics using clustering, NLP for user segmentation and market data product recommendation
Designed and Built production-ready machine-learning models and feature extraction systems on both big data such as Hadoop/Spark and on traditional large scale compute farms using Scala, R and Python
Built intelligent dashboards and reports using Tableau and Qlick view
