I will build a predictive maintenance ml model

Struggling with equipment breakdowns or inventory stockouts? I build machine learning models for predictive maintenance and demand forecasting that flag problems before they cost you money.

What you get:

- A trained ML model for failure prediction or stockout prediction, built on your data

- Feature engineering, model selection (Random Forest, XGBoost, etc.), and threshold tuning for accuracy

- Clear visual reports: feature importance, precision/recall, model performance

- Python code, documentation, and a walkthrough so your team can maintain it

Why work with me:

I combine data science with real business context, so the model is tuned to minimize costly false negatives, not just accurate on paper. I've built predictive analytics solutions across manufacturing, retail, and logistics data.

How it works:

1. Share your historical sensor, inventory, or sales data

2. I explore the data and engineer relevant features

3. I train and validate models, then optimize for your risk tolerance

4. You receive the final model, code, and a clear explanation of results

Ready to stop reacting to failures and start predicting them? Message me to discuss your dataset.