Ratna Vasuki Pusarla

Ai Ml Engineer @Bank of America

US

Developed and deployed customer churn models (XGBoost, Spark SQL, Python) that improved targeting precision by 17.6% and reduced false positives by 9.4%, cutting unnecessary retention spend- Built Customer Lifetime Value (CLV) prediction models using regression techniques (Ridge, Lasso, XGBoost), enabling sales to prioritize accounts and driving a 10.8% uplift in upsell revenue- Designed a personalized recommender system on AWS EMR, combining collaborative filtering with hybrid approaches to increase click-through rates by 21.3% while lowering irrelevant recommendations by 8.7%- Applied NLP and RAG pipelines (FAISS + LLMs) to analyze customer feedback and answer domain-specific queries, improving sentiment insights and boosting knowledge retrieval accuracy by 28.9%- Automated ETL workflows and reporting with Agentic AI workflows, reducing manual validation by 46%, cutting data prep time by 37%, and enabling faster executive decision-making through Tableau dashboards.

California State University-Sacramento

Master of Science - MS

VNR Vignanajyothi Institute of Engineering & Technology

Bachelor of Technology - BTech