Samrat Shaurya jha

I developed and integrated a machine learning-based Payment Date Prediction module for Tata Motors, bringing web-based financial forecasting capabilities to its Website Design and Development platform.

During my Tata Motors internship, I cleaned and analyzed invoice data, built regression models, and documented reproducible preprocessing pipelines using Python, Pandas, NumPy, and Scikit-learn. I evaluated models with R², MAE, and MSE after handling missing values, outliers, feature scaling, and categorical encoding.

For the payment prediction system, I resolved data-quality issues across more than 100,000 rows and engineered features around payment cycles, transaction frequency, and dates. I validated the deployed model with 5-fold cross-validation to support end-to-end payment date forecasting.

I'm completing a Computer Science Engineering degree at KIIT and have also built a TensorFlow and OpenCV CNN model to predict skin-health conditions from 4,200+ labeled facial images. My work combines data analytics, predictive modeling, visualization, and Python development.