Final-year Computer Science and Engineering Student
Final-year Computer Science and Engineering student with hands-on experience across full-stack web development, data analysis, and machine learning. Comfortable working with Python, SQL, and Power BI, with applied project and internship experience in building end-to-end applications, dashboards, and predictive models.
Anonic Technologies Pvt. Ltd.
Jul 2024 – Aug 2024 · Virtual
Built and optimized full-stack features using React.js and Node.js; designed REST APIs; contributed to database schema design; collaborated with a distributed engineering team to debug issues and ship features against deadlines.
Nobel Learning PBC
May 2025 – Jul 2025 · Virtual
Completed a 90-hour Learner-to-Leader training program covering web design, internet troubleshooting, and technical communication; facilitated peer learning sessions and developed leadership, teamwork, and collaborative problem-solving skills.
B.Tech, Computer Science & Engineering
2023 – 2027
Coursework: Machine Learning, Statistics, DBMS, Data Structures & Algorithms
Built an end-to-end burnout-risk scoring engine analyzing developer commit-history data pulled live via the GitHub REST API. Engineered 20+ behavioral features and designed a weighted rule-based scoring algorithm classifying risk into Healthy, Warning, and High Risk tiers. Deployed an 11-page modular Streamlit Cloud application with automated PDF report generation and Plotly visualizations.
Built a classification pipeline with approximately 83.7% accuracy to predict depression risk from academic and lifestyle survey data. Cleaned and preprocessed raw survey data, engineered predictive features, and benchmarked multiple algorithms.
Built a regression model with approximately 84% R2 to predict resale car prices from historical listing data. Performed data cleaning and feature engineering on categorical and numerical listing attributes to improve model fit.