Applied mathematical concepts (Linear Algebra, Probability, Differential Equations) and statistical methods in data analysis.Developed proficiency in Python for machine learning, using Statistical Power Analysis and Optimization to improve model accuracy.Implemented key machine learning algorithms (Regression, Correlation, Gradient Descent, PCA) and gained foundational knowledge in Neural Networks (CNN).Conducted image processing projects focused on X-ray medical imaging and collaborated on industry-relevant projects with mentorship from scientists.Skills -Python, Machine Learning, Neural Networks (CNN), Image Processing, Medical Image Processing (X-ray), Linear Algebra, Probability, Differential Equations, Statistical Analysis, Statistical Power Analysis, Optimization, Principal Component Analysis (PCA), Regression (Linear, Multiple, Non-Linear), Correlation, Gradient Descent, Deep Learning, Programming.

Spearheaded the development and successful implementation of a cutting-edge wind energyprediction model using CNN, LSTM, and Regression techniques, resulting in a remarkable accuracyrate of 94% and revolutionizing resource planning and operational efficiency. Improved forecasting precision by over 7 % from previous models with an enhanced and advancedmodel. Successfully tested in 2+ industries and made a profound impact in forecasting. Skills - Python , CNN , LSTM , Regression , Machine Learning , Data Analysis , Predictive Modeling , Project Management , Collaboration