I provide professional machine learning and data analysis services using Python. Whether you need a predictive model, data cleaning, exploratory data analysis (EDA), or visualization — I deliver clean, well-documented, reproducible results.
What I offer:
- Machine learning models (classification, regression, clustering)
- Deep learning with TensorFlow and Keras
- Data preprocessing, feature engineering, and EDA
- Model evaluation, hyperparameter tuning, and performance reporting
- Data visualization using Matplotlib and Seaborn
My proven results:
- Breast cancer classifier: 97.37% accuracy, 0.9962 AUC-ROC
- Explainable AI model: 98.2% accuracy with interpretable heatmaps
- Drug solubility prediction: R²≈0.88 using QSAR modeling
I work with scikit-learn, pandas, NumPy, TensorFlow, Keras, XGBoost, and Google Colab. All deliverables include clean code, comments, and a summary report.
If you have a dataset and need insights, predictions, or a working model — I can help. Message me before ordering to discuss your specific needs.