Data Scientist
& Product Analyst
Turning data into clarity and code into scalable systems. I build solutions that are smart, fast, and impactful — from production ML pipelines to agentic AI applications.
I'm a data-driven builder with a caffeine-fueled passion for data science, backend engineering, and lifelong learning. Whether it's crunching numbers, decoding patterns, or debugging pipelines at 2 AM — I'm all in for the thrill of the tech chase. 🚀
Data tells stories, and I'm here to be the translator. From building ML models that actually behave 🤖 to visualizing insights that make stakeholders go "Whoa!" — I'm obsessed with turning raw data into real-world impact.
I hold a B.Tech in Computer Science with Honors in Data Science from Symbiosis Institute of Technology, Pune. By day I was an Associate Consultant at Oracle Financial Services; now I'm heading to UIUC for my MS in Information Management — Fall 2026.
Databases? All in. MongoDB, MySQL, PostgreSQL, or a humble .csv — I thrive on surfacing optimized order from structured chaos. Off the terminal, you'll catch me on the football pitch. ⚽
A full-stack data skill set — from model training to production deployment.
Data Science, Agentic AI, and Engineering projects built for real-world impact.
Multi-agent AI pipeline (Data Cleaning, EDA, Insight, Report agents) automating end-to-end data analysis, reducing manual effort by ~70%.
AI-powered platform monitoring Wikipedia edits with anomaly detection and real-time risk scoring pipelines.
Terminal-based AI Data Analyst — natural language interface for dataset exploration combining rule-based logic and local LLMs.
Just-in-time e-commerce platform with API-first architecture ensuring near 100% order fulfillment efficiency.
Alzheimer detection using Vision Transformers with Grad-CAM to visualize model attention and improve explainability.
Deep learning NLP model classifying fake vs real news articles using large-scale text datasets.
Python web scraper extracting large-scale movie datasets from IMDB for downstream analysis and visualization.
End-to-end cleaning and analysis of a real-world café dataset with ~10,000 transaction records and Power BI dashboarding.
Automated scraping framework for dynamic websites using Selenium-based browser automation.
From Fortune 500 consulting to high-growth startup analytics.
University of Illinois, Urbana-Champaign
Machine Learning Systems · Data Engineering · Distributed Computing · Large Scale Data Analytics
Symbiosis Institute of Technology, Pune
Machine Learning · Data Mining · Database Systems · AI · Business Intelligence
Sharing what I learn — practical data science, systems design, and real-world engineering.
Writing about Machine Learning, real-world analytics, production-ready systems, and practical insights from the field.
Visit Medium →Hands-on experiences in backend development, system design, and building scalable data-driven applications from scratch.
Visit Dev.to →
Blood donation camp with Hiranandani Hospital, physics learning aids for SSC students, and a beach cleanup removing 350+ kg of plastic.
Initiated and lead weekly football sessions for children — nurturing skills, teamwork, and love for the sport.
Core values, practices in community development. Community health, inclusive participation, and sustainable change.
SQL, R, dashboarding, data cleaning, and business communication via data.
View Credential ↗
Hands-on Python covering NumPy, Pandas, APIs, and web scraping. Built real-world projects in Jupyter Notebooks.
View Credential ↗
SQL and database design using SQLite3, web crawlers, and D3.js data visualization.
View Credential ↗Actively seeking full-time opportunities in Data Science, Data Engineering, and Product Management. Let's talk about how I can bring value to your team.