Monzurur Rahman

Principal Data Scientist @DeepIntent

New York, NY, US

I drive high-impact Realtime Data and Optimization initiatives that leverage big data, machine learning, and AI to accelerate business growth, product innovation, and operational efficiency. I lead end-to-end efforts across the machine learning lifecycle—from problem definition and data strategy to model development, deployment, monitoring, and continuous optimization—delivering scalable, production-ready solutions.Currently, I focus on designing and optimizing bidding algorithms for Real-Time Bidding (RTB) in online advertising auctions, enabling smarter budget allocation, improved win rates, and a higher return on ad spend (ROAS). I work cross-functionally with engineering, product, and business teams to embed intelligence into core decision-making systems and ensure alignment with strategic objectives.With deep expertise in predictive modeling, deep learning, and data science, I take a systems-level approach to architecting machine learning solutions that are robust, interpretable, and measurable. I am passionate about transforming complex data into actionable insights and building real-time ML platforms that drive intelligent, data-driven decisions at scale.

Monash University, Australia

PhD, Data Mining

Central Queensland University

Master of Science (M.Sc.), Machine Learning

RMIT University, Australia

Doctoral, Machine Learning

Bangladesh University of Engineering and Technology

Bachelor of Engineering (B.Eng.), Computer Science and Engineering