Kunal Jha

Results-driven Data Analyst with hands-on experience in data analytics and machine learning. Proficient in SQL, Excel, Power BI, and Python for data cleaning, visualization, and predictive modeling. Demonstrated ability to derive actionable insights from real-world datasets, supporting data-driven decision-making and solving business challenges.

• Brain Stroke Predictions, Preprocessed healthcare dataset with encoding, scaling, and imputation; performed exploratory data analysis to identify key risk indicators. Built classification models (CatBoost, Logistic Regression, Random Forest) with SMOTE for class balancing, achieved 87% accuracy and improved recall by 15%.
• EPA Green Vehicle Analytics, Merged and analyzed 10 years of EPA vehicle data (2008–2018) to study trends in fuel economy (MPG), emission scores, and adoption of alternative fuels using Pandas & NumPy. Conducted EDA to compare SmartWay vs non-SmartWay vehicles, showing eco-friendly cars had higher MPG and lower CO₂ emissions.
• FileGo | Secure File Sharing Web Application, https://filego.onrender.com/, Developed a secure and scalable file-sharing web app using the MERN stack. Implemented file encryption, link-based sharing, and expiry mechanisms for enhanced privacy. Deployed full-stack app on Render with optimized backend performance and responsive UI.