Manan Shah

worked as an intern for the EU Supply Chain Program team, contributing to a variety of team initiatives and obtaining real-world experience. •Leveraged SQL for intricate data tasks, enhancing data processing capabilities. •Executed ETL techniques to consolidate data from multiple sources, optimizing information accessibility. •Engineered a QuickSight dashboard for Direct Fulfillment Supply Chain Program, reducing vendor manager pitch deck creation time by 1.21 FTE hours.

-Extracted valuable insights from complex datasets through in-depth exploratory data analysis using Python, Pandas, and NumPy, assisting in data-driven decision-making. -Exhibited adaptability in the field of data science through the practical use of a variety of machine learning methods, including random forests, decision trees, neural networks, K-Means clustering, K Nearest Neighbours, Logistic Regression, Support Vector Machines, and Linear Regression.