Hi! I am Rupam Bhattacharyya, a Data Scientist III at Google (YouTube Ads).
I am a methodology-first quantitative researcher specializing in bridging advanced statistical theory with high-scale computational engineering. Over the past eight years, I have developed and deployed robust probabilistic models, predictive machine learning pipelines, and simulation frameworks across diverse fields - from cancer genomics to platform-scale ads economics.
🛠️ Core Expertise
- Applied Statistics: Bayesian Hierarchical Modeling, Causal Inference, Spatial Network Analysis, High-Dimensional Data Fusion.
- Machine Learning: Robust Outlier Management, Multi-Agent Simulation, Predictive Modeling.
- Data Engineering: Petabyte-scale database querying, distributed schema design, automated pipeline monitoring.
💼 Professional Journey
- Data Scientist III (Research) | Google (YouTube Ads) | 2024 - Present
- Focusing on ad auction theory, causal revenue estimation, and optimization systems (such as tCPM bidding recommendations and conversion forecasting) utilizing Google-scale data systems.
- Post-doctoral Biostatistician | Michigan Center for Translational Pathology | 2023 - 2024
- Led by Prof. Arul Chinnaiyan, focusing on multi-platform genomics integration and cancer therapeutics.
- PhD in Biostatistics | Department of Biostatistics, University of Michigan | 2018 - 2023
- Supervised jointly by Prof. Veerabhadran Baladandayuthapani and Prof. Nicholas Henderson.
🎓 Education & Roots
- M.Stat. & B.Stat. in Statistics | Indian Statistical Institute, Kolkata
- Roots: Born in Krishnanagar, West Bengal, India. Raised in Shantipur, where I did my schooling from Shishu Kakali Primary School and Santipur Municipal High School.
To know more about my work, check out the other sections of this website!