IDEAS-TIH, Indian Statistical Institute (ISI) Kolkata
January 2026 – February 2026

Completed a 4-week, 60-hour Spring Internship Program focused on applied data science and machine learning. The program combined hands-on project work with intensive technical training.

Core Project: Predictive Classification Modeling

• Developed and evaluated machine learning models for an "Iris Flower Classification" project.

• Utilized Logistic Regression and Random Forest algorithms to analyze and classify datasets.

• Managed the end-to-end data lifecycle, including data collection, statistical analysis, Python coding, and compiling a final technical report for project mentors.
  
  
  

Technical Training (20 Hours)

• Python Basics for Data Science

• Machine Learning Fundamentals (Regression and Classification)

• Large Language Model (LLM) Fundamentals