I will train a custom machine learning model for your data
AI Automation Engineer RAG Chatbots n8n and Python
About this Gig
Turn your historical data into a model that forecasts outcomes, classifies records, detects anomalies, or recommends the next best action.
I build custom machine-learning solutions for business and research datasetsnot copied notebook demos. The work begins with your target, data quality, and success metric, then moves through preprocessing, feature engineering, model comparison, validation, and clear delivery.
USE CASES INCLUDE
Sales, demand, revenue, and time-series forecasting
Customer churn, lead scoring, and risk classification
Fraud, quality, and operational anomaly detection
Segmentation, recommendations, and predictive analytics
Tabular, text, and image classification where suitable
Tools may include Python, pandas, scikit-learn, XGBoost, TensorFlow, or PyTorch. You receive transparent metrics and limitations. Message me with an anonymized sample, target column, dataset size, and business goal before ordering.
Programming language:
Python
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SQL
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MLflow
Frameworks:
Scikit-learn
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Keras
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PyTorch
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Panda
Tools:
Jupyter Notebook
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TensorFlow
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Excel
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MLflow
•
Colab
My Portfolio
FAQ
Can you work with confidential business documents?
Yes. After ordering I can work in a secure buyer-owned environment. Before ordering, please share only anonymized samples with confidential details removed.
Can you guarantee 100% OCR accuracy?
No. Accuracy depends on image quality, layout, language, and field complexity. I test on representative samples and can add confidence thresholds plus human review.
Which output formats can you provide?
I can deliver CSV, Excel, JSON, database-ready records, or a REST API. The exact format and schema are agreed from your samples before development.

