I'm an Artificial Intelligence & Data Science student who believes that
strong fundamentals + real projects = real growth.
I focus on building ML systems that are practical, backend-ready, and meaningful,
not just notebooks that stop at accuracy scores.
- β Machine Learning with real datasets
- β Data preprocessing & feature engineering
- β ML models as backend logic
- β Impact-driven, SDG-aligned projects
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C |
C++ |
Python |
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NumPy |
Pandas |
Scikit-learn |
Matplotlib |
Seaborn |
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Git |
GitHub |
Jupyter |
Kaggle |
VS Code |
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MySQL |
SQLite |
An ML-powered backend system that predicts health indicators from structured data.
Designed to integrate directly with a frontend application.
Hands-on projects using real datasets, focusing on preprocessing, modeling, and evaluation.
I build slowly, learn deeply, and improve every day.

