Women in Data Science Puget Sound 2026 Conference

Ph.D. in Machine Learning with 5+ years of industry experience working in high-performance, worldwide scale projects on fraud detection, warehouse management & promotion targeting across fintech, e-commerce & healthcare. She is skilled in supervised & unsupervised machine learning algorithms, building end-to-end ML pipelines, applied statistics, Python & SQL.

She has presented her research at various academic and practitioner conferences like Grace Hopper Celebrations (India), the Women in Machine Learning workshop at NeurIPS & ICML, and ACM Conference on Machine Learning and Human-Computer Interaction (2020). She has served as a visiting faculty for courses on AI, ML, and business analytics across management institutes in India.