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Shubham Patil

@shubhampatil12

Data Scientist who improved a machine learning model’s accuracy from 72% to 78% and built a customer churn and lifetime value platform.

India

Message

At SAP Edunet Foundation, I contributed to machine learning model development, including preprocessing, feature selection, and training and evaluation. Through iterative feature engineering and hyperparameter tuning, I helped improve model accuracy from 72% to 78% and assisted with cloud-based deployment.

I designed an end-to-end platform to predict customer churn and forecast Customer Lifetime Value for over 4,300 active digital storefront customers. I combined BG/NBD and Gamma-Gamma models with XGBoost, then built a Power BI dashboard to segment customers by risk; in my final-year project, I also built a multimodal emotion recognition system using facial and speech analysis.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

SAP Edunet Foundation

Dec 2024 - Jan 2025 (1 month)

Contributed to ML model development, performing data preprocessing, feature selection, and model training/evaluation. Improved model accuracy from 72% to 78% through iterative feature engineering and hyperparameter tuning.

Machine Learning data preprocessing Feature Engineering Hyperparameter Tuning Model Evaluation cloud deployment

Data Science Intern

BrainyBeam InfoTech

May 2024 - Jun 2024 (1 month)

Performed exploratory data analysis and preprocessing on a sales dataset to identify trends and patterns. Built and evaluated predictive models, applying data cleaning and feature engineering techniques to improve model reliability.

Data Analysis data preprocessing predictive modeling Feature Engineering Data Cleaning