I will build python machine learning models for prediction, churn and classification

Need a machine learning model that predicts churn, sales, risk or customer behaviour from your data, explained in plain English?

I'm a PhD AI Engineer and Software Engineering lecturer with 8+ years of experience in machine learning, deep learning and data science.

What I build:

- Churn prediction and customer segmentation

- Sales, demand and price prediction

- Classification and regression models

- Fraud and anomaly detection

- Recommendation systems

- Deep learning models (TensorFlow, PyTorch)

How I work:

1. Clean and explore your data (EDA)

2. Engineer features and compare models (scikit-learn, XGBoost, LightGBM, neural networks)

3. Tune and validate with clear metrics

4. Explain what drives the predictions (feature importance, SHAP)

5. Deliver a Jupyter notebook, report and, optionally, an API

Data from CSV, Excel, SQL or Google Sheets. Your data stays confidential.

Order the Basic package for a quick model, or send me your dataset and goal for a free assessment.