I’m a Computer Science student specializing in Data Science, interested in AI, data analytics, and design. I enjoy exploring new technologies, working on projects, and learning things that help me turn ideas into something useful. I’m always curious to try new things, improve my skills, and discover what I can create. Outside academics, I enjoy creative work, videography, and exploring new ideas.
Media Club Member
JB Institute of Engineering and Technology (JBIT)
- Currently in college media club activities, with an interest in videography, visual storytelling, and creative media production.
Indigo Squad Member
Indian Institute of Technology, Bombay
- Member of the Indigo Squad at Mood Indigo, IIT Bombay, contributing to student engagement and supporting festival-related activities.
Hackathon participant
Hack With India × Devnovate
- Participated in HackWithHyderabad 3.0, an 8-hour technology hackathon held at Microsoft Office, Hyderabad, on 3 October 2026. Engaged in a collaborative technology environment focused on creativity, innovation, and problem-solving.
Data analytics intern
YBI Foundation
- Completed a 3-month Data Analytics training and internship program, gaining practical experience in data analysis, working with datasets, interpreting data, and applying analytical techniques to solve problems.
Virtual Intern
Deloitte
- Completed Deloitte’s Data Analytics Job Simulation through Forage in November 2025, gaining practical exposure to data analysis tasks and analytical problem-solving in a simulated professional environment.
Zero-Trust Data Observability Platform for Agentic AI Systems
Developing a data observability and threat detection platform for system logs using FastAPI and Streamlit. Currently implementing log analysis, threat detection, API endpoints, and system health visualization, with PostgreSQL integration and AI security features planned for upcoming development.
AI-powered sentiment analysis system that uses Natural Language Processing (NLP) and machine learning to classify text reviews as positive, negative, or neutral
Credit Card Fraud Detection Using Machine Learning
Machine learning project that analyzes credit card transaction data to identify potentially fraudulent transactions using Logistic Regression and data analysis techniques.
B.Tech
Jb institute of engineering and technology · 8.3
Deloitte
Nov 2025Data Science Internship
YHills
Jun 2026
Attendee · Oct 24, 2026