• Executed a Python ETL pipeline on GCP, boosting data processing efficiency by 40% and retrieval speeds with optimized SQL queries (25% reduction)• Developed interactive Tableau dashboards with 10+ advanced calculated fields enabling 4x faster exploration, uncovering hidden insights, and reducing information gathering by 30%• Collaborated with data scientists to implement Python-based machine learning models, resulting in a 15% increase in predictive accuracy for customer segmentation, leading to more targeted marketing campaigns

* Processed 2.5TB of user data, generating actionable insights that boosted customer engagement by 15%.* Designed and tested 5 machine learning models, improving the accuracy of predictive analytics by 20%.* Aggregated detailed data from 20+ websites through efficient web scraping, providing essential competitive intelligence and cutting data processing delays by 25%, thus accelerating the delivery of actionable insights for business strategies.