About
I’m Raghav Chhabra, a Computer Engineering student at Thapar Institute of Engineering and Technology with a strong foundation in Data Structures & Algorithms, Machine Learning, Data Science, and Data Engineering. I have solved 1000+ problems on LeetCode, ranking among the Top 15,000 out of 5M+ users, which has significantly strengthened my analytical thinking and problem-solving abilities. I was also a National Semi-Finalist in Flipkart GRID 7.0 from over 160,000 participants, selected for the McKinsey Forward Program, advanced to Round 2 of Naukri Campus Young Turks 2025 with an AIR 2654 in the Coding, Data Science & AI track, and chosen among the Top 450 students nationwide for the AlgoUniversity Technology Fellowship. Currently, I am working as a Data Engineering Intern at Axis Bank's Business Intelligence Unit, where I develop scalable PySpark- and SQL-based data quality pipelines, automate analytics workflows using dynamic configurations, and build end-to-end reporting solutions for large-scale customer data. This experience has strengthened my understanding of distributed data processing, ETL pipelines, and production-grade analytics systems. I have also gained experience in deep learning and computer vision through a previous AI/ML internship, where I built and optimized CNN models using PyTorch. Beyond my internships, I have built end-to-end machine learning solutions for time-series forecasting and recommendation systems, covering feature engineering, model development, evaluation, and deployment-ready pipelines. Passionate about applying Machine Learning, Data Engineering, and AI to solve real-world problems, I enjoy building scalable, data-driven systems using Python, SQL, PySpark, PyTorch, Scikit-learn, and modern data science tools, while continuously expanding my expertise in large-scale data platforms and intelligent systems.
Work experience
Data Engineering Intern at Axis Bank, May 2026 - Jul 2026 · 3 mos, Mumbai
Mckinsey Forward Learner at McKinsey & Company, Oct 2025 - Dec 2025 · 3 mos, Remote
Contributor at GirlScript Summer of Code, Jul 2025 - Nov 2025 · 5 mos
AI/ML Intern at OutriX, Jul 2025 - Aug 2025 · 2 mos, Remote
