Transforming data into actionable insights to address real-world challenges.
I'm a passionate Data Science and Machine Learning enthusiast, driven by curiosity and creativity.
I enjoy transforming data into actionable insights, building intelligent systems, and collaborating on impactful projects.
My interests span Machine Learning, Deep Learning, Computer Vision, and NLP.
Currently, I'm working on scalable ML applications and sharing knowledge with the community.
- Winner in campus-level ML hackathons.
- Recognized for creative data visualizations in Kaggle micro-challenges.
- Contributor to AI tutorials and guides.
- Runner-up in internal data sprints.
- Published beginner-friendly guides on ML tools.
- Strong foundation in Python, C++, and modern ML frameworks.
- Love exploring new algorithms and staying updated with AI research.
- Focused on making data science accessible and impactful.
- Always open to collaboration on cool projects and innovative solutions.
| Repository | Description | Language | Stars | Forks |
|---|---|---|---|---|
| ProPhet_BnB | Airbnb price prediction | Python |  |
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| Lane_Morph | Lane detection & morphing | Python |  |
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| DSA-with-C- | DSA implementations in C++ | C++ |  |
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| Greydge | Data pipeline for grey-scale image analysis | Python |  |
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| zavix-animegan-app | AnimeGAN web app | Python |  |
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