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I will create a custom machine learning model for you business data
Data Science based account
Senior data professional (5 years) building predictive models and NLP/LLM systems for subscription, health tech and EdTech companies. Predictive modeling: churn, fraud, demand forecasting, and risk sc...
About this Gig
I build predictive models that turn your business data into decisions you can act on: who's about to churn, which transactions look fraudulent, what demand to expect next quarter.
What I deliver:
- A trained model (XGBoost, Random Forest, or the right tool for your data) validated against your actual business metrics, not just accuracy
- Feature engineering from your raw data: cleaning, encoding, handling missing values, and class imbalance
- A clear write-up of what the model found and how confident to be in it
- The model delivered as a script, notebook, or simple API depending on what you need
Who is this for: businesses with historical data (customer records, transactions, sales history) who want a working model, not just a dashboard.
Before we start, I'll ask a few questions about your data and what decisions the model needs to support - this keeps the deliverable useful rather than technically impressive but unused.
Programming language:
Python
•
R
•
SQL
Frameworks:
Scikit-learn
•
Panda
Tools:
Jupyter Notebook
•
Excel
•
Colab
•
RStudio
FAQ
Do you need my raw data, or can you work with a sample?
A representative sample is enough to scope the work; the final model/system will need the full dataset.
What if I don't know which approach I need?
That's normal; the discovery questions at the start figure that out together.
Can you sign an NDA?
Yes, happy to do so for any project involving proprietary data.
What happens if the model's accuracy isn't good enough?
We discuss and estimate expected performance up front based on data quality; revisions within the ordered package are included.
