Aspiring ML Engineer passionate about building intelligent systems that solve real-world problems through data-driven solutions.
- π§ Building ML projects β recommender systems, predictive models & AI agents
- π Deep-diving into Data Science, Feature Engineering & Model Deployment
- β Practicing DSA consistently with Python & C++
- π Exploring full-stack deployment with Flask & Streamlit
Languages
ML / Data Science
Tools & Platforms
| Project | Description | Tech |
|---|---|---|
| π¬ Movie Recommender System | Content-based recommendation engine using cosine similarity & feature vectorization | Python, Pandas, Scikit-learn, Streamlit |
| π Customer LTV Prediction | ML pipeline to predict customer lifetime value, deployed as a Flask web app | Python, Flask, Regression |
| π€ AutoStream Agent | Automated streaming agent with modular architecture for task automation | Python, Automation, GitHub |
| π AI Content Summarizer | Extractive & abstractive summarization tool for articles and PDFs using NLP | Python, NLP, Transformers |
| π AI Resume Analyzer | Analyzes resumes against job descriptions using NLP & ATS-style scoring | Python, NLP, TF-IDF |
- π Artificial Intelligence β IIT Kanpur
- π Full Stack Web Development β Apna College
Thanks for visiting my profile! Keep building, keep learning. π## Hi there π