Data Scientist
Using the IBM HR Analytics Employee Attrition & Performance dataset, I built interpretable machine learning models to understand why employees leave and to help HR teams identify at-risk staff. This project combines EDA, class imbalance handling, and predictive modeling with a focus on interpretability. Problem Employee turnover is costly, and HR teams need tools to …
Problem Statement: A leading retail superstore chain wants to identify which products, regions, and customer segments are profitable and which aren’t, to make smarter marketing and inventory decisions. Questions Answered: Tools Used: Tableau Skills Demonstrated: Data visualization, calculated fields, interactivity, drill-downs, dashboard design Dashboard Preview View interactive dashboard Business Recommendations: