Data Science Intern – VR4 SOLUTIONS , DELHI
Apr 2024 – AUG 2025

· Assisted in developing predictive models using Python and Scikit-learn for customer churn analysis. Engaged in data cleaning, feature selection, and hyperparameter tuning, resulting in a model with 85% accuracy.

· Worked closely with senior data scientists to optimize machine learning pipelines by implementing cross-validation and grid search techniques, improving model performance by 10%.

· Conducted exploratory data analysis (EDA) on a large retail dataset using Pandas and Matplotlib to uncover trends and patterns, providing key insights to drive marketing strategy.

· Participated in feature engineering efforts by creating custom metrics and derived features that enhanced model predictions for customer segmentation.

· Built interactive visualizations in Tableau to communicate data-driven insights to stakeholders, ensuring a clear understanding of key performance indicators and model outputs.