π― Data Science & Machine Learning Enthusiast
π‘ Passionate about building real-world AI solutions β from credit risk prediction to computer vision
π I love turning raw data into meaningful insights and deploying ML models as live applications
- π I'm currently working on real-time ML applications using XGBoost, Deep Learning & Gradio
- π± I'm currently learning Neural Networks, Deep Learning & MLOps
- π€ I'm looking to collaborate on open-source Data Science & AI projects
- π¬ Ask me about Machine Learning, Python, EDA, Model Deployment
- β‘ Fun fact: I love photography π·
| Project | Description | Tools |
|---|---|---|
| π Home Loan Default Risk Predictor | Real-time credit risk prediction with live deployed app | XGBoost, Gradio, HuggingFace |
| π€ Gender-Age-Emotion Detection | Computer vision using pre-trained models | Deep Learning, OpenCV |
| π Fashion MNIST Classification | Image classification using Deep Learning | TensorFlow, Keras |
| π¦ Banking Churn ML Pipeline | Customer churn prediction pipeline | Scikit-learn, Python |
| π Retail Sales Dashboard | Sales analytics dashboard using SQL | SQL, Analytics |