Data Science Intern
Skill Craft Technology · Present
- Cleaned and preprocessed real-world datasets in Python (Pandas, NumPy), handling missing values, outliers, and inconsistent formatting to prepare data for analysis.
- Performed exploratory data analysis and built visualizations with Matplotlib and Seaborn to identify trends and relationships within the data.
- Applied basic machine learning models to test hypotheses and validate findings, documenting methodology and results for review with mentors.
- Collaborated with the team to translate raw analysis into clear, actionable summaries for non-technical stakeholders.

