Data Science Internship

Responsibilities:

• Work on real-time datasets to perform data cleaning, preprocessing, and analysis
• Assist in building and evaluating machine learning models
• Perform exploratory data analysis (EDA) to identify patterns and insights
• Write efficient code using Python (NumPy, Pandas, Matplotlib, etc.)
• Create data visualizations and dashboards to present findings
• Work with SQL for data extraction and manipulation
• Collaborate with the team on live projects and problem statements
• Document work, results, and maintain proper project reports
• Participate in model testing, validation, and optimization

Requirements:

• Basic understanding of Python programming
• Familiarity with data analysis concepts
• Knowledge of statistics fundamentals (mean, median, probability, etc.)
• Basic understanding of machine learning concepts (optional but preferred)
• Willingness to learn and work on real-time projects
• Good problem-solving and analytical thinking skills
• Basic knowledge of SQL is a plus
• Strong communication and teamwork skills