Experienced Machine Learning Engineer with a strong background in data analysis, feature engineering, and building end-to-end ML pipelines.
Passionate about solving real-world problems using data-driven approaches and automated data collection.
- Build end-to-end Machine Learning pipelines
- Perform EDA, Feature Engineering & Data Cleaning
- Train & evaluate predictive models
- Deploy models using Python SDKs & FastAPI
- Handle Imbalanced Data
- Extract and collect data from websites using Python (Selenium, BeautifulSoup)
- Achieved 87.2% recall in Credit Score Classification
- Improved model performance using hyperparameter tuning
- Improved model performance using scaling, encoding, and normalization
- Built reusable ML pipelines with Scikit-learn
- Strong experience with real, noisy datasets
- Working on Predictive Modeling & GenAI
- Improving skills in MLOps & Model Optimization
- Python, OOP, Data Structures
- NumPy, Pandas
- Scikit-learn
- Feature Engineering
- Model Evaluation (ROC, Recall, Accuracy)
- Matplotlib, Seaborn, Plotly
- Power BI
- SQL
- 🎯 Parameters Optimization
- 💳 Credit Score Prediction
- 🚗 Car Price Prediction
- 🩺 Diabetes Classification
- 📈 EDA & Visualization Projects
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