Data Scientist Intern
Current• Enhanced algorithm performance by conducting in-depth analysis of time series variables related to inventory and orders, resulting in improved efficiency and accuracy in inventory management.• Integrated data from snowflake to python and ran models on jupyter(python)• Analyzed large datasets comprising over 10 million records to identify patterns and trends, leading to a 25% improvement in the accuracy of recommendations.• Built predictive models using various machine learning algorithms, including Random Forest and Gradient Boosting, to optimize inventory management processes, resulting in a 15% reduction in excess inventory and a 10% increase in on-time deliveries.