I will build nlp and machine learning models for your business data
Python and AI Developer building RAG chatbots and data analytics tools
About this Gig
You have text, support tickets or sales history, but nobody has time to read it or predict from it. I clean your data, build a simple baseline first, then a stronger model, and show you honestly which one works better.
What I build:
Text and intent classification, such as sorting messages by topic or urgency
Sales or demand forecasts from CSV or Excel history
Data cleaning, EDA and feature engineering
A results report with the error stated next to a simple baseline
A FastAPI endpoint so other tools can use the model
LLM fine-tuning on request, where it suits your task
How it works:
1. You share a CSV or Excel file, or exported text.
2. I clean it, test a baseline and a stronger model, and compare them.
3. You get the model, the report, the source code and short instructions.
Built with Python, Pandas, NumPy, scikit-learn, XGBoost and CatBoost. My portfolio includes a Kaggle ensemble project and the data analysis module of my live AI platform, Hero's AI.
No model is right every time, and I will show you where it fails. Message me before ordering with your goal and a small sample file.
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Panda
Tools:
Jupyter Notebook
FAQ
What can your NLP and ML models do?
Text and intent classification, sorting messages by topic or urgency, and sales or demand forecasts from CSV or Excel history.
How accurate will the model be?
I show its error next to a simple baseline, including when it does not beat it. No model is right every time, so I also show where it fails.
What data do I need to share?
A CSV or Excel file, or text exported from your tools. A small sample is enough to start. Please remove personal data you do not want me to see.

