Summary
Abhijay Paturi is a data scientist with 11 years of experience building AI-led, revenue-driving solutions and scalable ML systems that have optimized hundreds of millions in marketing spend and delivered tens of millions in revenue and cost savings. Currently at Procter & Gamble in the Bay Area, he applies generative and agentic AI, RAG, and semantic layer techniques across retail, promotions, and consumer behavior use cases. He combines hands-on engineering in Python, Spark, and cloud platforms (AWS/GCP/Azure) with production tooling like Databricks, Snowflake, and Hugging Face to move models from prototype to impact. His background spans industry and academia—MS and BA in Data Science from USC and teaching experience as a TA—bringing a mix of research rigor and delivery focus. Past roles at startups and consultancies cultivated strengths in ETL, causal A/B testing, and ML-driven product features. Outside core projects he’s interested in agentic flows and applying LLM orchestration to transform large-scale business processes.
10 years of coding experience
6 years of employment as a software developer
High School Diploma Engineering and Natural Sciences Emphasis, High School Diploma Engineering and Natural Sciences Emphasis at The Athenian School
Bachelor of Arts - BA Economics, Bachelor of Arts - BA Economics at USC Dornsife College of Letters, Arts and Sciences
Data Scientist with Python Career Track Computer Science, Data Scientist with Python Career Track Computer Science at DataCamp
Master of Science - MS Applied Data Science, Master of Science - MS Applied Data Science at USC Viterbi School of Engineering
Spanish, Telugu, English