Data Scientist Intern

Worked as a Data Science Intern, applying Python, SQL, statistics, data analysis, and machine learning techniques to real-world datasets.

included collecting and cleaning data, performing exploratory data analysis (EDA), identifying patterns and trends, creating visualizations and dashboards, and developing basic machine learning models.

: • Collected, cleaned, and preprocessed structured and unstructured datasets. • Used Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization. • Performed exploratory data analysis to identify trends, correlations, and insights. • Wrote SQL queries to extract and analyze data from databases. • Built and evaluated machine learning models for prediction and classification tasks. •

: • Higher Secondary(12th Pass) (Preferred) Work Location: In person