Work Experience

• Participating in the PwC Launchpad program focusing on industry-oriented training in data analytics, machine learning, and enterprise technology solutions.

• Developing hands-on experience with real-world business problem solving using Python, SQL, and data analysis tools.

• Working on case-based projects involving data processing, visualization, and predictive modeling to derive actionable insights.

• Implemented machine learning models for data analysis and predictive tasks using Python and Scikit-learn.

• Performed data preprocessing, feature engineering, and exploratory data analysis to improve model performance.

• Built and evaluated supervised learning models including regression and classification algorithms on real-world datasets.

• Utilized libraries such as Pandas, NumPy, and Matplotlib for data manipulation, visualization, and performance evaluation.