Aspiring Data and Machine Learning Engineer with a strong foundation in Python, C++, and MATLAB and hands-on experience in data preprocessing, feature engineering, and predictive modeling. Skilled in using Pandas, NumPy, Scikit-learn, and OpenCV for developing recommendation systems, image/audio processing applications, and intelligent automation solutions. Familiar with TensorFlow and PyTorch for deep learning model development and deployment. Proficient in SQL for data management and experienced with cloud platforms (AWS, Microsoft Azure) for scalable machine learning workflows. Adept at building data pipelines, applying statistical analysis, and optimizing algorithms to deliver high-performance solutions. Recognized for strong analytical thinking, problem-solving, and collaboration, with a passion for transforming data into actionable insights.
Tools: Cadence Virtuoso, Netsim, Verilog, MATLAB, LT-Spice, Anyss, SQL