Build a custom ML model for prediction and classification

Are you looking for a reliable data scientist to build, train,
and evaluate a machine learning model tailored to your specific
business problem? I will deliver a fully working, well-documented
ML solution using Python and industry-standard libraries.

Whether you need churn prediction, sales forecasting, fraud detection,
classification, anomaly detection, or regression — I handle everything
from raw data to a production-ready model.

What you will receive:
- Trained ML model (Random Forest, Logistic Regression, SVM, or XGBoost)
- Full data cleaning and preprocessing
- Feature engineering and selection
- Model evaluation report (accuracy, precision, recall, F1-score)
- Clean Python code with inline documentation
- Summary of findings and business insights

To get started, please provide:
- Your dataset (CSV or Excel)
- Target variable and problem type (classification or regression)
- Any specific accuracy goals or business requirements

Ideal for startups, researchers, and businesses that need fast,
accurate, and affordable machine learning solutions.