I will build an end to end machine learning pipeline with python

Sitting on a dataset but don't know what to do with it?

I build production-grade ML pipelines clean, documented, deployable code. Not just notebooks.

What's included:

• Data cleaning & feature engineering (no data leakage)
• Model benchmarking: Logistic Regression, Random Forest, XGBoost
• Evaluation with the right metrics for your use case
• Clean, commented, ready-to-run Python code

Built in production:

• ML anomaly detection engine at Morocco's national securities depository (MAROCLEAR)
• Customer segmentation model at Crédit du Maroc (top Moroccan bank)
• Telecom churn pipeline XGBoost AUC 0.763, Recall 0.794

I work with classification, regression, clustering, financial and time-series data.

Message me before ordering I'll review your dataset and confirm delivery.