
Retail Sales Prediction
Build Fellowship project: predictive models for retail sales using Prophet, ARIMA, XGBoost/LightGBM. Data preprocessing, feature engineering, business recommendations.
From AI-powered platforms to post-quantum cryptography research

Build Fellowship project: predictive models for retail sales using Prophet, ARIMA, XGBoost/LightGBM. Data preprocessing, feature engineering, business recommendations.

Zero-cost Python pipeline pulling news & official data from APIs, summarizing via AI, and posting 7:15 ET Telegram briefs. Tableau dashboards for jobs, CPI, yields, trade, GDP.

Cross-platform rewards app where users earn real money through games/surveys and cash out via PayPal. React Native with Firebase backend.
Research thesis on post-quantum digital signature scheme using code-based cryptography and zero-knowledge proofs. Benchmarked against NIST PQC candidates (LESS, HAWK, UOV).

Real-time drone detection with 95%+ accuracy using YOLO & Roboflow. OpenAI API for model classification, 30% false positive reduction, 0.5s latency.
MATLAB-based multi-UAV simulation with PID control, wind resistance, and AI-driven obstacle avoidance. Autonomous navigation to target coordinates.

Comprehensive database for Georgia Tech Library with ER/EER diagrams, 3NF normalization. Python system with CRUD, filtering, reporting, and auth.
Led a team to develop a web service platform with HTML, CSS, and JavaScript. Implemented sticky menus, sliding cards, and tooltips. Used wireframing tools for UI optimization and SEO best practices.