I am a Data-driven B.Tech CSE-AI undergraduate specializing in Product Analytics, Data Science, and Quantitative Modelling. I build scalable data pipelines and use modern OLAP tools like DuckDB and Python to translate complex datasets into actionable business strategy and revenue growth.
My approach to data science is simple: an algorithm is only as good as the business problem it solves. I specialize in the intersection of heavy data engineering and product strategy, moving beyond clean CSVs to process 30M+ row datasets using advanced SQL and Python.
With a strong foundation in probability, stochastic calculus, and machine learning, I focus on marketplace economics-building dynamic pricing engines, calculating price elasticity, and using data to balance supply and demand liquidity.
I am currently looking for 3+ month internships in Bengaluru where I can collaborate with product teams to turn raw database tables into measurable GMV impact.
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I'm currently building my professional experience through academic projects and personal initiatives. Stay tuned for updates as I begin my career journey in the tech industry!
View My ProjectsProcessed 30 million rows of NYC mobility data using DuckDB and advanced SQL Window Functions. Designed a Python algorithm capping surge at 2.5x to protect LTV, while successfully modeling a 6.7% elasticity-driven trip loss to capture a +5.51% revenue increase.
Conducting comparative analysis between statistical models to validate detection accuracy on high-volatility datasets. Utilizing rolling statistical metrics (e.g., Z-scores) in Python to establish baseline market behavior and programmatically trigger alerts.
Built a backtesting engine focusing on accurate event-loop architecture and state management. Engineered a modular, object-oriented Python architecture, allowing for the seamless swapping of alpha-generation signals without altering execution logic.
B.Tech in Computer Science - Artificial Intelligence
July 2023 - July 2027 (Expected)
Ranked among the top engineering colleges in India with world-class facilities
Comprehensive curriculum covering cutting-edge technologies and computer science fundamentals
Active participation in hackathons, coding competitions, and technical festivals
GPA: 7.8/10 (Current)
Relevant coursework: Data Structures & Algorithms, Machine Learning, Database Management Systems (DBMS), Probability & Statistics, AI/ML
Yale University (Coursera)
Issued: January 2026
I'm always open to new opportunities, collaborations, and discussions. Feel free to reach out through the form or connect with me via the following channels.