Data Cleaning and Predictive Modeling on Real-World Datasets

Analyzed and cleaned large datasets with missing values and outliers, applied feature engineering, and built predictive models using Python libraries such as Pandas and Scikit-learn. The project highlights my ability to extract insights, handle messy data, and apply regression and classification techniques.