Tanmay Chaudhari

Trained extensively and acquired expertise in AI/ML Concepts predominantly with Python programming language, leveraging libraries such as Scikit-learn, Matplotlib, Seaborn, and Pandas. Created and fine-tuned machine learning models for a house price prediction problem, achieving a 15% increase in predictive accuracy compared to baseline models. Processed and analyzed a dataset of over 100K samples, deriving insights leading to a 35% improvement in model performance through feature engineering and selection.

Led and contributed to diverse Java application projects, skillfully incorporating Graphical User Interfaces (GUI) and Database Connectivity, demonstrating a high level of proficiency in Java development. Spearheaded development of a Student Management System Software Project utilizing Java Swing Library, ensuring a user-friendly interface at frontend and achieved a 20% improvement in efficiency and user satisfaction through intuitive design and functional implementation.