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• Seasoned Machine Learning Engineer proficient in Python, Pyspark, and SQL, specializing in Optumera pricing and promotion optimization on Azure Databricks.

• Successfully optimized code runtime by migrating from pandas to Pyspark and SQL, achieving a remarkable threefold reduction in execution time.

• Conducted comprehensive analysis using Time Series algorithms (Sarimax, Sarima, STL, FBprophet, Kats, and Stldecompose) for accurate demand forecasting.

• Implemented diverse regression analysis techniques and advanced clustering approaches, ensuring precise unit price calculation and effective handling of unpredictable scenarios.

• Demonstrated versatility by contributing to front-end tasks involving HTML, CSS, and JS, fostering a comprehensive understanding of the application's ecosystem. Additionally, actively engaged in regular client meetings, promoting effective collaboration, and consistently improving model accuracy from 30% to 90%.