Resume

I engineered fully responsive front‑ends with HTML5, CSS3, media queries, Bootstrap, and Tailwind, delivering a seamless desktop‑to‑mobile experience. Every build was stress‑tested—functional and non‑functional metrics like browser compatibility, form validation, and break‑point behavior—via dev‑tools suites. Load times fell fast thanks to code minification, image compression, strategic caching, and Webpack bundling, translating directly into better UX. Clean ES6+ JavaScript and React components, disciplined state management, and Git‑driven collaboration tied the whole workflow together.

I collaborated with cross‑functional teams to collect, clean, and preprocess structured marketing‑and‑sales data with Python, Pandas, and NumPy, ensuring high‑quality inputs for downstream models. I designed exploratory data‑analysis workflows in Matplotlib and Seaborn that surfaced business trends, anomalies, and data‑quality issues to steer strategy. I built and tuned scikit‑learn classification and regression models, optimizing hyperparameters and validating results with cross‑validation and F1‑score. Finally, I upgraded data pipelines by integrating REST APIs and batch processes via requests, JSON, and SQL, enabling automated, scalable ingestion for model training.

At Syracuse’s College of Engineering & Computer Science, I completed a rigorous master’s program that sharpened my ability to reason about complex systems and extract insights from data. The curriculum blended research‑driven theory with real‑world lab work, giving me repeated practice turning abstract problems into production‑ready code. Coursework in Data Science, Statistics, and Operating Systems deepened my analytical toolkit, while advanced study of Data Structures & Algorithms, Computer Architecture, and Software Engineering refined my design instincts. Team projects—often framed as industry case studies—honed my collaboration skills and exposed me to distributed‑systems challenges found in modern networks and cloud environments.

My bachelor’s degree at JSPM’s Rajarshi Shahu College laid the technical foundation for everything I build today. From first principles of computer hardware to cloud‑scale software, the program emphasized disciplined engineering practices and hands‑on experimentation. Core courses in Machine Learning, Deep Learning, and Statistics introduced me to predictive modeling, while Object‑Oriented Programming, Data Structures & Algorithms, and Operating Systems ingrained clean‑code habits and performance thinking. Electives in Computer Networks, Architecture, Software Engineering, and Cloud Computing rounded out a holistic understanding of how applications move from silicon to the user.