I will build a demand forecasting or churn prediction ml model in python

Demand forecast or churn model ready in 3-5 days. Trained on your data, with accuracy metrics and API-ready Python code.

Message your use case for a free 12h audit.

I build production-ready machine learning models for specific business outcomes: forecasting, churn prediction, price optimization, anomaly detection, and lead scoring. Not generic notebooks- usable pipelines you deploy immediately.

What I deliver

• Clean, documented Python code (scikit-learn, XGBoost, PyTorch).
• Trained model file (ready to load and predict).
• Clear accuracy/performance metrics and interpretation.
• FastAPI wrapper (optional) for instant predictions.
• Jupyter notebook with preprocessing and training steps.
• Technical documentation (assumptions, limitations, next steps).

Quick turnaround

• 3 days for proof-of-concept (small dataset, baseline model).
• 5 days for optimized production model (hyperparameter tuning).
• 7 days for full pipeline (API, Docker, deployment guide).

Best for

• SaaS founders, e-commerce managers, agencies, and startups

What you need to start

• Clear goal, dataset, target metric, known variables, and business context

Order now or message for custom quote.