Madhalasa S J

Collaborated in a freelance, open-source initiative to develop an AI-driven traffic management system, optimizing traffic flow and reducing congestion in Nigerian cities. Utilized computer vision techniques, including OpenCV and YOLO, for real-time vehicle detection and tracking in traffic video feeds. Developed and deployed BiLSTM models for traffic flow prediction and integrated SUMO for traffic simulation and optimization. Applied Python, TensorFlow, Pandas, and NumPy for data processing, model development, and evaluation. Contributed to system performance improvements by optimizing traffic management strategies and enhancing model accuracy.

Analyzed sales data using Google Clicks and Facebook Impressions to forecast product demand for an e-commerce platform. Applied time series models, including ARIMA, ARIMAX, and SARIMA, to optimize inventory management and improve supply chain operations, enhancing forecasting accuracy and reducing stockouts. Conducted advanced time series analysis on historical sales data and marketing metrics. Implemented predictive models to refine inventory management strategies, achieving more accurate demand forecasts and better decision-making.