Results-driven Master’s Graduate in Applied Data Science with over 5 years of experience with Synchrony Banking project. Proficient in Python, SQL, machine learning, and artificial intelligence. Skilled in end-to-end model development, big data processing, and deploying scalable analytical solutions. Proficient in modern frameworks like PyTorch, TensorFlow, Spark, and Kafka, with expertise in CI/CD pipelines, MLOps, and cloud computing (AWS).
Air Quality Forecasting using Machine Learning:
Developed a hybrid model for precise air quality forecasting, integrating Time Series Analysis and machine learning techniques.
E-Commerce Application using MySQL:
Developed an e-commerce application with a MySQL database and designed a GUI app using Qt designer, integrating both operational and analytical databases.
Traffic Management System (TMS) using Neural Networks:
Developed an enhanced urban traffic management and forecasting system utilizing advanced deep learning techniques for real-time traffic analysis.