Data Scientist
CurrentSupply Chain Fulfillment (Stores&Transportation)• Created Streamlit web app dashboards using Python with interactive features, showcasing dynamic transformations and trend visualization for real-time insights, augmenting user interactions and informing strategic decision-making• Constructed a Tableau dashboard to compare pilot test results, leveraging BigQuery for efficient data integration and implemented user-friendly filters for rapid data insights for business stakeholders• Built data pipeline for data extraction and thoroughly cleaning to ensure high-quality input for model building using Python; conducted scalable benchmark analysis, facilitating data-driven business decisions through comparative insights• Developed a machine learning classification model in Python to predict store out-of-stock occurrences and implemented production pipelines, significantly improving task prioritization and operational efficiency in store operations processes