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Collect, clean, pre process, and analyze structured and unstructured datasets.
Perform Exploratory Data Analysis (EDA) to identify trends, patterns, and insights.
Develop and evaluate basic machine learning models.
Work with Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn.
Write SQL queries to extract and manipulate data.
Create reports, dashboards, and data visualizations.
Assist in feature engineering, model training, and performance evaluation.
Apply statistical techniques to solve business problems.
Collaborate with data analysts, data scientists, and development teams.
Document findings, methodologies, and project outcomes.
Support ongoing data science and analytics projects.

Requirements

Python
SQL
Pandas
NumPy
Data Cleaning & Preprocessing
Exploratory Data Analysis (EDA)

Data Science Intern

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