Data Science & Machine Learning Student
Passionate about transforming data into actionable insights through advanced analytics and machine learning
I'm a Data Science and ML student at VIT Bhopal. I love solving real-world problems. I've built projects like fake news detection, spam mail detection, and plant disease classification. I'm open to internships and collaborations in data science and machine learning.
DSA Problems Solved
Current CGPA
CNN-based deep learning model to classify potato leaf diseases with 97-100% accuracy, enabling early detection of early blight and late blight for farmers.
End-to-end NLP system using TF-IDF and Naive Bayes to classify SMS messages with 97% accuracy and real-time predictions.
Backend-focused quiz application with modular design to simulate aptitude rounds using APIs, dynamic question handling, and user score tracking.
Simulates real-time digital transactions with virtual UPI IDs, wallet management, and transaction history using MySQL and OOP-based backend design.
Intelligent movie recommender using cosine similarity and NLP techniques with Streamlit UI and TMDB API integration.
Integrated M.Tech. in CSE (Computation and Data Science)
CGPA: 8.64 | Expected 2026
Specializing in advanced data science techniques, machine learning algorithms, and computational methods.
Senior Secondary (Class XII)
88.2% | 2020
Strong foundation in mathematics and science subjects.
Active Problem Solver
GFG Rating: 1807 (Top 7.97%) | LeetCode Rating: 1602 (Top 22.84%)
Solved 500+ unique DSA problems with consistent practice and contest participation.