- Collaborated with a mentor to complete 3-4 data science projects, demonstrating proficiency in data analysis, machine learning & data visualization.

- Applied statistical analysis and machine learning techniques to solve real-world problems.

- Developed predictive models using Python libraries such as Pandas, Numpy and TensorFlow.

- Created interactive dashboards and visualizations using tools like Tableau and Matplotlib to present insights.

- Participated in weekly code reviews and team meetings, improving coding standards and problem-solving skills.

- Gained hands-on experience in data cleaning, feature engineering, and model evaluation.