AI-Powered Data Insights Intern at Excelerate (April 2025–June 2025)
Worked on AI-powered data insights tasks that supported model development by cleaning data and exploring feature relationships. Used predictive modeling to identify churn drivers and develop retention recommendations. Translated analytical findings into rule-based decision logic for downstream recommendation use. • Cleaned and prepared datasets using Python and Excel • Performed exploratory data analysis to extract engagement and demographic patterns • Trained logistic regression, decision trees, and random forests to find churn predictors • Built a rule-based learner retention recommendation system based on model insights