Tanmay Chaudhari

Designed and deployed over 50 survey forms using HTML, CSS, JavaScript, and Python, leveraging Dynata for efficient and accurate data collection, resulting in a 30% increase in response rates and significantly enhancing the overall data quality. Implemented and automated end-to-end data pipelines with SQL, Python, and Apache Airflow, significantly reducing data processing time by 40% and improving data accuracy by 25%, while also enhancing the overall data handling efficiency. Constructed interactive dashboards using Tableau and Power BI, enhancing decision-making and efficiency by 20%, and automated internal tools with Python and Shell scripting to optimize project management, saving 100+ hours monthly

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.