Data Science Intern

• 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)