Summary
Ayan Basak is a Data Scientist II based in Seattle with 8 years of experience applying machine learning and analytics to reduce risk, improve marketing ROI, and drive revenue growth across finance, e-commerce, and industrial AI projects. He has a proven track record delivering production ML systems—at Discover he boosted payoff rates by 12% and prevented ~$1.7M in losses through automated eligibility pipelines, and at Snapdeal he raised marketing ROI by 50% via CLV modeling. Comfortable across the ML lifecycle, Ayan combines hands-on Python, SQL, Airflow and deep learning work (including speech LID pipelines on AWS using Wav2Vec) with cross-functional execution and A/B testing. He’s led small data science teams and translated models into operational controls and demand-forecasting solutions that materially cut inventory losses. Ayan pairs a Master’s in Business Analytics from Purdue with an engineering background, bringing both quantitative rigor and product-focused deployment experience. An understated strength: he consistently seeks practical automation opportunities that save headcount while improving model performance and business outcomes.
8 years of coding experience
4 years of employment as a software developer
Master's degree Business Analytics and Information Management, Master's degree Business Analytics and Information Management at Purdue University Daniels School of Business
Junior/Intermediate/Middle School Education, Junior/Intermediate/Middle School Education at The Calcutta Boys' School
B.E. Electrical Electronics and Communications Engineering, B.E. Electrical Electronics and Communications Engineering at Jadavpur University
English, Hindi, Bengali