Project Experience

Academic Data Analytics Platform | Python, Dash Plotly, MySQL, MongoDB, Neo4j, Aiven, Render | website |

• Full-Stack Development: Developed a comprehensive web-based analytics dashboard enabling prospective graduate applicants to explore academic programs, compare universities, and identify prominent researchers through interactive data visualizations
• Cloud Infrastructure: Deployed multi-database architecture utilizing Aiven for MySQL, MongoDB Atlas, and Neo4j Aura for scalable backend services; implemented seamless hosting on Render for real-time updates

• Android Development: Engineered a feature-rich weather application with secure user authentication, customizable UI themes, real-time weather data integration via Google Maps API, and AI-powered Q&A functionality using Gemini API
• Quality Assurance: Implemented comprehensive test automation with Espresso framework, developing instrumented tests to validate core functionalities and ensure application stability across diverse user scenarios

• Console Game Programming: Developed 2D console-based games in C++ including Tic-tac-toe with AI opponent and Gomoku with configurable board dimensions and winning conditions, implementing object-oriented design patterns and algorithms
• File System Implementation: Built a modular file system supporting core operations (create, delete, open, close) with password-based security; developed custom shell commands (ls, rm, cat, copy) for efficient terminal-based file management

• Image Processing & Feature Engineering: Preprocessed 45,000+ paperclip images with noise reduction techniques; engineered features by extracting RGB pixel intensities to optimize model training performance
• Neural Network Design: Designed and trained a 4-layer neural network using TensorFlow/Keras framework to predict paperclip quantities from extracted features, achieving RMSE ≤ 2.0 and 92% validation accuracy