Summary
Sai Praneeth is a Senior Applied Scientist with 9 years of experience building production-grade ML and Generative AI solutions across industries, currently leading multi-modal RAG and conversational AI projects at AB InBev and Thomson Reuters. He combines deep hands-on expertise in ML (LightGBM, XGBoost), big data stacks (PySpark, Databricks, Azure/GCP), and MLOps (Kubernetes, Airflow) to turn complex business problems—marketing ROI, churn reduction, reactivation—into measurable outcomes. His background spans quant trading, telecom DPI analytics, and marketing mix modeling, with wins like a +25% MMM accuracy lift and >$1M ROI from churn initiatives. A Waterloo MASc graduate and CITADEL Data Open winner, he pairs academic rigor (numerical simulation thesis work) with practical software engineering to ship scalable, data-driven systems. Notably, he has bridged research and product by accelerating computational workflows (Numba) and operationalizing models on data lake platforms for real-time decisioning.
9 years of coding experience
4 years of employment as a software developer
Bachelor of technology Mechanical engineering, Bachelor of technology Mechanical engineering at Pondicherry Engineering College
Higher secondary education Mathsphysicschemistry, Higher secondary education Mathsphysicschemistry at Narayana junior college,Nellore
Master of Applied Science Engineering, Master of Applied Science Engineering at University of Waterloo
Telugu, Hindi, English