Preferred Background •Major in CS, Data Science, AI/ML, or Engineering •Familiarity with Python and common ML libraries •Interest in applied AI, ML systems, or AI-enabled applications
Internship Description
This internship offers project-based learning exposure to data analysis, focusing on collecting, cleaning, and analyzing datasets to generate insights that support data-driven decision making. Participants will work on guided data analysis projects under mentorship, learning how raw data is transformed into meaningful insights through structured analytical workflows.
Activities & Exposure
• Practice data processing and analysis using Python (pandas, NumPy) and SQL
• Learn how to build dashboards using tools such as Tableau or Power BI
• Explore basic statistical analysis and introductory predictive methods
• Present analytical findings through visual reports and summaries
• Participate in data review discussions and feedback sessions
Outcomes
• Practical experience with end-to-end data analysis workflows
• Improved ability to communicate insights using visualizations
• Portfolio-ready examples of data analysis and reporting
Requirements
Preferred Background
Major in Data Science, Statistics, Computer Science, or related fields
Familiarity with data visualization tools and analytical libraries
Strong analytical mindset and attention to detail
Interest in data analytics or analytics-driven roles