Open to opportunities

Hi, I'm Raghav Chhabra

Data Science · Machine Learning · Computer Vision
CS Student at Thapar Institute of Engineering and Technology

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Raghav Chhabra
Who I Am

Building Intelligent
Systems that Matter

I'm Raghav Chhabra, a passionate Computer Science student at Thapar Institute of Engineering and Technology, India, with a strong foundation in Data Structures and Algorithms and a deep interest in Data Science and Machine Learning.

I've solved over 1000+ problems on platforms like LeetCode, sharpening my problem-solving, analytical thinking, and coding abilities. My work spans data preprocessing, feature engineering, model training, and evaluation — with exposure to NLP and recommendation algorithms.

Beyond ML, I develop clean, responsive UIs using HTML, CSS, JavaScript, and Tailwind CSS — enabling me to build and deploy data-driven products end-to-end.

📍 Patiala, India 🎓 BE Computer Engineering 🤖 AI / ML Enthusiast 💻 1000+ LeetCode Problems
Academic Journey

Education

Building a strong foundation in Computer Engineering with a passion for pushing boundaries.

🎓
Thapar Institute of Engineering and Technology
Bachelor of Engineering in Computer Engineering
📍 Patiala, Punjab, India
August 2023 — May 2027 (Expected)
8.89 / 10.0 CGPA
🏫
FloraDale Public School
High School — CBSE Board
📍 Sri Ganganagar, Rajasthan, India
August 2021 — May 2023
83.4% Percentage
Work Experience

Where I've Worked

Hands-on industry experience building real-world AI/ML systems.

OutriX
AI / ML Intern · Remote
Jul 2025 — Aug 2025
  • Designed, implemented, and trained a custom Convolutional Neural Network (CNN) architecture using PyTorch to classify images into 10 distinct categories, achieving high model accuracy on the CIFAR-10 dataset.
  • Created custom dataset classes and upgraded data loaders to efficiently process the CIFAR-10 dataset, improving pipeline robustness and throughput.
  • Delivered weekly updates and a final comprehensive report covering methodology, results, model performance analysis, and future scope for both projects.
McKinsey & Company
McKinsey Forward Learner · Remote
Oct 2025 — Dec 2025
  • Completed the McKinsey Forward Program, focusing on structured problem solving, business communication, and leadership development.
  • Applied McKinsey’s hypothesis-driven approach to real-world case scenarios and analytical decision making.
  • Developed professional skills in collaboration, adaptability, and data-driven thinking aligned with consulting practices.
Recognition

Achievements

Milestones and recognitions earned through hard work and consistency.

🏆
Flipkart GRID 7.0 — National Semi-Finalist
Achieved National Semi-Finalist status in Flipkart GRID 7.0, selected from over 160,000 participants across India.
View Certificate
💼
McKinsey Forward Program
Selected for the prestigious McKinsey Forward Program, focused on problem-solving and leadership skills.
View Certificate
⌨️
Top LeetCode Performer — 1000+ Problems
Ranked among the top 20,000 out of 5M+ users. 365-day streak holder.
View Profile
🥇
AlgoUniversity Technology Fellow
Selected among the Top 450 students nationwide for the AlgoUniversity Technology Fellowship.
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Technical Arsenal

My Skills

A broad and deep skill set spanning programming, ML, data science, and web development.

Python C++ JavaScript Machine Learning Deep Learning Computer Vision Data Science NLP SQL TensorFlow Scikit-learn OpenCV Pandas DSA Flask Git & GitHub Python C++ JavaScript Machine Learning Deep Learning Computer Vision Data Science NLP SQL TensorFlow Scikit-learn OpenCV Pandas DSA Flask Git & GitHub
Languages & Databases
Python C / C++ JavaScript HTML CSS SQL SQLite3 LaTeX
Machine Learning & AI
Data Cleaning & EDA Feature Engineering Data Visualization Statistical Analysis Regression & Classification Clustering Deep Learning (ANN, CNN) Computer Vision (OpenCV) Natural Language Processing Model Evaluation & Tuning Reinforcement Learning
Frameworks & Libraries
Scikit-learn TensorFlow Keras Pandas NumPy Matplotlib Seaborn OpenCV NetworkX Flask Streamlit Tailwind CSS
CS Fundamentals
Data Structures & Algorithms Object-Oriented Programming Database Management Systems Operating Systems Artificial Intelligence Git & GitHub
What I've Built

My Projects

End-to-end projects that solve real problems using modern ML techniques.

01
Energy Consumption Forecasting
End-to-end ML pipeline on the UCI Household Electric Power Consumption dataset. Engineered 80+ time-series features (lag, rolling stats, EWMA, cyclical encoding). Achieved 99.53% forecasting accuracy with Ridge Regression across 7 trained models.
Python XGBoost CatBoost Scikit-learn Time Series
View on GitHub
02
Book Recommendation System
Personalized recommendation engine combining TF-IDF, SVD-based collaborative filtering (RMSE: 0.84 on Goodbooks-10k), and bipartite graph modeling with NetworkX. A* search algorithm optimizes recommendation paths for enhanced accuracy.
Python SVD NetworkX TF-IDF Surprise
View on GitHub
03
Cloak of Invisibility
Real-time "Invisibility Cloak" effect using OpenCV and NumPy. Detects a specific color (blue) in a live webcam feed and replaces it with a pre-captured background using HSV masking and morphological operations — creating the illusion of invisibility.
Python OpenCV NumPy Computer Vision
View on GitHub
Competitive Coding

Coding Profiles

Consistent problem solving across competitive programming platforms.

1111+
Problems Solved
Easy 545 Med 535 Hard 31
Top 20%
LeetCode Global Rank
Contest Rating 1624
365
Day Streak Badge
View LeetCode
Get In Touch

Let's Work Together

Whether you have a project in mind, an opportunity to share, or just want to connect — my inbox is always open.