Summary
Deekshita Saikia is a Senior Data Scientist based in Durham with five years of experience applying machine learning and analytics to fintech, healthcare supply chains, and energy emissions research. A Duke MIDS graduate, she builds end-to-end ML pipelines in production—automating Sagemaker jobs with Airflow and scaling models for longer prediction horizons—while also teaching machine learning and NLP to graduate students. Her background spans credit risk modeling, time-series forecasting, and NLP topic modeling for customer feedback, with measurable business impact such as improving prediction horizons by 50% and enabling multi-million euro uplift in prior roles. Comfortable moving between research and production, she combines strong statistical foundations (MSc in Operational Research, BSc in Mathematics) with practical deployment experience and a knack for turning messy real-world data into actionable insights.
5 years of coding experience
1 year of employment as a software developer
Master of Science - MS Interdisciplinary Data Science, Master of Science - MS Interdisciplinary Data Science at Duke University
Master of Science (M.Sc.) Operational Research, Master of Science (M.Sc.) Operational Research at Hindu College, University of Delhi
Bachelor of Science (B.Sc.) Mathematics, Bachelor of Science (B.Sc.) Mathematics at St. Stephen's College, Delhi