data analysis, machine learning

Technical Skills: • Programming Languages: Python, C/C++ • Machine Learning: Statistical Modeling, Machine Learning Algorithms • Data Analysis: Data Blending, Exploratory Data Analysis (EDA), Data Visualization • Data Engineering: SQL, Data Transformation, Data Cleaning • Tools & Libraries: Seaborn, Scikit-Learn, Pandas, NumPy, Matplotlib • Databases: SQL • Visualization Tools: Power BI, Minitab • Simulation with MATLAB, Modeling and simulation of Nano Electronic Devices (CNTFET, TFET) • Communication Skills • Team working and Collaboration ........................................ Certifications • Applied Data Science Capstone IBM, Coursera, IBM, 2023 • Python for Data Science, AI & Development, Coursera, IBM, 2023 • Mentoring of Data Science Course, Teach me roadmap, 2023 ...................................................................... Education Doctor of Philosophy Ph.D., Electrical Engineering – Nano Electronic ........................................................................ • Academic IELTS score overall: 6.5 • Duolingo English Test: 110 Education: PHD in Engineering