· Developed ETL pipelines and predictive models for performance optimization, scoring, churn prediction, and anomaly detection across Verizon's Wi-Fi and 5G services.· Delivered scalable solutions using Apache Spark, probabilistic models, and deep learning techniques.· Collaborated with cross-functional teams to analyze multi-terabyte datasets, enabling real-time insights and improved customer experience.

Developing ETL pipelines, modeling machine learning systems, and conducting multi-level data analyses for telecommunications network projects.

•Identified and Quantified the effect of Self-checkout Ads on Walmart store revenue •Developed benchmark model for Self-Checkout/TV Wall advertising evaluation•Implemented different causal inference models (Diff-in-diff, Propensity-score model, and Meta-learner) •Run end-to-end analyses with Walmart customer big data on Google Cloud Platform