Data Science Intern

**Role & Responsibilities

**Collect, clean, preprocess, and analyze structured and unstructured datasets.

Perform Exploratory Data Analysis (EDA) to identify trends, patterns, and insights.

Develop and evaluate basic Machine Learning models for real-world use cases.

Work with Python, Pandas, NumPy, Matplotlib, Scikit-learn, and SQL.

Perform feature engineering, data transformation, and model evaluation.

Create reports, dashboards, and visualizations to communicate findings.

Assist the team with Data Science, Machine Learning, and AI-related projects.

Document project methodology, experiments, results, and key findings.

*Preferred Candidate Profile

*Students or recent graduates from Computer Science, Data Science, AI/ML, IT, Mathematics, Statistics, or related fields.

Good understanding of Python and SQL.

Basic knowledge of Statistics, Machine Learning, and Data Analysis.

Familiarity with libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.

Strong analytical and problem-solving skills.

Willingness to learn new Data Science and AI technologies.

Personal/academic Data Science projects or a GitHub portfolio will be an added advantage.