Data Scientist Intern

Worked as a Data Science Intern, applying Python, SQL, statistics, data analysis, and machine learning techniques to real-world datasets. Responsibilities included collecting and cleaning data, performing exploratory data analysis (EDA), identifying patterns and trends, creating visualizations and dashboards, and developing basic machine learning models.

Key Responsibilities:

• 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.

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Education:

• Higher Secondary(12th Pass) (Preferred)

Work Location: In person