Mayank Chauhan

I'm building practical AI applications with Python, including ShelfScanner, an AI-powered book discovery app that generates contextual, personalized recommendations through AI APIs.

I've also developed customer churn prediction and credit card fraud detection pipelines using Pandas, NumPy, and Scikit-learn, covering preprocessing, EDA, feature engineering, model evaluation, class-imbalance handling, and metrics including precision, recall, F1-score, and ROC-AUC.

As a Data Science and Machine Learning Intern at Upskill Campus × UniConverge Technologies, I'm working on practical Python, data analysis, and machine learning applications. I'm a Computer Science undergraduate interested in Generative AI, LLMs, predictive modeling, and practical AI solutions.