I'm a third year Computer Engineering student deeply passionate about Data Science and Machine Learning. My journey started with solving practical problems using Python and has gradually expanded into more advanced areas like ML Engineering, AI Agents, Reinforcement Learning, and LLMs.
- 🧮 Data Science — turning messy data into actionable insights
- 🤖 Machine Learning — building intelligent systems that adapt and learn
- 🧠 Deep Learning — with a growing focus on RL, transformers, and agent-based architectures
- ⚙️ Backend Engineering — using tools like Django, Flask, and FastAPI to build robust APIs around ML models
An intelligent system that predicts if a customer will stop using a product/service based on sales history.
Key features:
- XGBoost model with high predictive accuracy
- SHAP analysis for explainability
- Business insights through interactive visualizations
Evaluation Metrics:
- MSE:
0.0450 - RMSE:
0.2120 - MAE:
0.1292 - R² Score:
0.8168
- Building ML models from scratch for deeper understanding
- Reinforcement Learning fundamentals and algorithm implementations
- AI agents that combine LLMs with environment interaction
- Developing a mini-framework for reproducible ML workflows
- Fullstack development on both desktop and web