Kaggle Contributer
- Car Price Prediction Model – Built a predictive model using Python, NumPy, Pandas, and Scikit-Learn, achieving 94% accuracy in predicting car prices.
- Netflix Data Analysis – Analyzed large datasets with Pandas, Matplotlib, and Seaborn, identifying key trends and patterns that could inform data-driven decisions.
- Applied Python libraries such as NumPy, Pandas, Scikit-Learn, Matplotlib, and Seaborn to clean, analyze, and visualize data, resulting in actionable insights.