I will build a machine learning model for your data in python

Need to predict customer churn, sales, insurance claims, or any outcome from your data? I will build a machine learning model in Python that is evaluated honestly on held-out data and explained in plain language.

What you get:

- Data cleaning and exploratory analysis (EDA)

- Feature engineering

- Several models compared and the best one tuned (scikit-learn, Keras/TensorFlow)

- Clear metrics that match your business goal, not just accuracy

- Explainability with SHAP: why the model makes each prediction

- Clean, commented Jupyter notebook and reusable Python script

Recent results:

- Telecom churn model: PR-AUC 0.873 and 88.4% recall at 75% precision on held-out data

- Insurance claim prediction: ROC-AUC 0.916

- Arabic sentiment classifier on 20,000 tweets: macro-F1 0.914

About me: AI Engineering Intern at Kawkab, an applied AI firm serving MENA enterprises, with a Computer Engineering degree and a 660-hour Data Science and ML bootcamp.

Please message me before ordering with a short description of your data and your goal, so I can confirm the right package for you.