Project Experience

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

• Full-Stack Development: Designed a web-based analytics dashboard enabling prospective graduate school applicants to explore academic programs, compare universities, and identify prominent researchers through intuitive visualizations
• Cloud Deployment: Utilized AWS RDS, MongoDB Atlas, and Neo4j Aura for backend cloud databases; deployed application on Render for seamless hosting and real-time updates

• Android Development: Built a feature-rich weather application with user authentication, customizable UI themes, real-time weather and map integration via Google API, and AI-powered weather Q&A using Gemini API
• Quality Assurance: Developed comprehensive instrumented tests with Espresso framework to validate core functionalities, ensuring application stability and reliability across different user scenarios

• Console Game Programming: Built 2D console-based games in C++ including Tic-tac-toe (with AI opponent) and Gomoku (with customizable board size and winning rules), applying object-oriented programming principles and design patterns
• File System Implementation: Implemented a modular file system supporting file operations (create, delete, open, close) with password protection, and developed custom shell commands (ls, rm, cat, copy) for terminal-based file manipulation

• Image Processing & Feature Engineering: Preprocessed raw paperclip images to reduce noise; performed feature engineering by extracting average RGB pixel depths and frequency components as independent variables for model training
• Neural Network Design: Designed a 4-layer neural network using the TensorFlow/Keras framework; trained the model on 45,000 samples with extracted features to predict paperclip quantities, achieving RMSE ≤ 2.0