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I will be your data scientist for python machine learning models
AI Automation Engineer building RAG Chatbots, LLM Apps and n8n Workflows
I build practical AI tools for small businesses: RAG chatbots that answer from your PDFs and documents with source citations, OpenAI and Gemini LLM integrations, and Python and n8n automations that re...
About this Gig
Have data and a business question, but no model yet? I build practical machine learning models in Python and explain the results in plain language.
WHAT I CAN BUILD
- Classification: churn, fraud or lead conversion prediction
- Regression and sales or demand forecasting
- Customer segmentation and basic recommendation models
- Text classification and sentiment analysis
PORTFOLIO (public datasets, code on GitHub): RetailPulse 360 (demand forecasting and inventory analysis for a 190+ store retail dataset), FraudDetection360 (IEEE-CIS fraud detection) and StreamIntel 360 (churn, recommendations and NLP).
YOU RECEIVE: clean Jupyter notebook, trained model file, metrics and a short report. Premium adds a simple Streamlit demo app.
PLEASE NOTE: results depend on your data quality and size. Production deployment, APIs and hosting are quoted separately. Send me a data sample and your goal before ordering and I will tell you honestly if I am the right fit.
Programming language:
Python
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SQL
Tools:
Jupyter Notebook
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TensorFlow
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Excel
•
Colab
My Portfolio
FAQ
Can you guarantee a specific accuracy?
No honest data scientist can before seeing the data. I report clear metrics on a held-out test set and explain what limits performance, such as data size or missing features.
How large can my dataset be?
Packages cover one tabular dataset (CSV or Excel) that fits on a normal laptop. Very large data, images or multiple linked tables need a custom offer, so please message me first.
Do you deploy the model to production?
Packages deliver the notebook, model file and report; Premium adds a simple Streamlit demo. A production API, scheduling or cloud hosting is a separate custom offer.
