Results-driven Product Manager with extensive experience leading cross-functional teams to deliver innovative solutions. Proficient in programming languages such as Python, Java, and SQL, with expertise in machine learning, data manipulation, and building data pipelines. Skilled in advanced data analysis using Pandas, NumPy, and visualization tools like PowerBI and Matplotlib. Experienced in MATLAB and Simulink for modeling, simulation, and real-time system design, and FPGA programming for hardware integration. Proven track record of enhancing product strategy and driving brand engagement through data-driven decisions.
Under the guidance of Dr. K. Rajashekharam, Scientist-G, Director of Avionics, and SQA.
Project Name: Modified ResNet-101 for Leukemia Image Classification
Project: Student & User Management System
Technologies: Python, SQLAlchemy, SQLite, MD5, JSON
2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies