Results-driven Data Scientist with over seven years of experience applying Machine Learning, Deep Learning, and Statistical Modeling to solve complex business problems across manufacturing, supply chain, and operations. Expert in designing data-driven experiments, conducting hypothesis testing, and validating models through A/B testing and inferential statistics. Skilled in deploying AI and big data solutions for dynamic pricing, demand forecasting, personalization, and predictive analytics at scale. Hands-on with Python, PySpark, and cloud ML platforms (Azure, Databricks), with proven success in transforming raw data into actionable business intelligence.