ANJALI

Mentored projects — from data cleaning to deployment using real-world datasets and industry practices.

Designed and led project-based learning modules, including Movie Recommendation System, Financial Fraud Detection, and Sentiment Analysis, to enhance the hands-on experience and project portfolios.

Delivered 150+ training sessions on Python, Data Science and Machine Learning, mentoring 200+ students.

Built Random Forest model with 78% accuracy to predict student performance and support early interventions.

Identified key purchasing patterns and trends in customer behavior by analyzing a year of transaction data, driving insights for targeted marketing and sales strategies.

Developed XGBoost model to forecast purchase behavior with 85% accuracy, improving sales conversion rates.

Provided actionable dashboards and visual reports to business stakeholders using Python and PowerBI.