I am a machine learning and computer vision engineer focused on building data-driven solutions, predictive models, and intelligent systems. I enjoy working on end-to-end ML pipelines, feature engineering, model optimization, and deep learning applications with real-world datasets.
- End-to-end machine learning pipelines
- Data cleaning, EDA, and feature engineering
- Classical ML and deep learning models
- Model evaluation, tuning, and optimization
- Computer vision projects using CNNs and image processing
- Real-world data processing and analytics
| Machine Learning | Deep Learning & Computer Vision | Data & Visualization |
|---|---|---|
| Python · Scikit-learn | TensorFlow / Keras | NumPy · Pandas |
| Feature Engineering | PyTorch · CNNs | Matplotlib · Seaborn |
| Model Evaluation | Computer Vision | Plotly · Power BI |
| Hyperparameter Tuning | Transfer Learning | SQL |
- 🎯 Parameter Optimization
- 💳 Credit Score Prediction
- 🚗 Car Price Prediction
- 🩺 Diabetes Classification
- 📈 EDA and Visualization Projects
- Improved credit score classification recall to 87.2%
- Built reusable ML pipelines for structured data workflows
- Worked with noisy, imbalanced, and real-world data
- Applied scaling, encoding, normalization, and tuning for model improvement
- Working on predictive modeling and generative AI
- Improving skills in MLOps and model optimization
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