md salman khan

I am a data science and machine learning enthusiast with a strong foundation in statistics, data analysis, and model building. I apply Python, R, and SQL to transform data into actionable insights and support business decisions.

My projects include a capstone on dynamic in-motion wireless charging for electric vehicles where I modeled charging behavior, optimized power flow with machine learning, and used sensor data for real-time adjustments. I also built time series forecasting models using ARIMA and Prophet for sales prediction and performed K-means customer segmentation to improve marketing targeting.

I am proficient with Pandas, NumPy, Scikit-learn, TensorFlow, Matplotlib, Seaborn, MySQL, and Tableau, and I hold certifications in SQL for Data Science and Supervised Machine Learning. I bring practical experience in data cleaning, visualization, and evaluating model performance with metrics like RMSE and MAE.

I am eager to contribute to a dynamic, data-driven team where I can continue learning and apply analytical skills to solve real-world business problems and optimize decision-making.