I will analyse your customer data and build an ltv or churn model
AI Engineer, LLMs, RAG and Agentic Systems
About this Gig
I will analyse your customer data and build a customer lifetime value (LTV) or churn model that tells you who is worth keeping and who is about to leave.
I have built LTV, churn, attribution and lead-scoring models for marketplaces and a health-tech company, in SQL and Python, and I tie each model to a business number (revenue, ROAS, retention).
How it works:
Step 1) You share a customer or order export (CSV or database access you control).
Step 2) I check what can actually be modelled with your data.
Step 3) I build the model and deliver results you can act on.
Expertise:
Classification
•
Churn
•
Clustering
•
Predictive analysis
Programming language:
Python
•
SQL
My Portfolio
FAQ
What data do I need?
Customer ID, order or transaction dates and amounts; more history gives a better model.
Do I need to share sensitive data?
No. Anonymised IDs are enough.
Which tools do you use?
Python and SQL; results delivered as CSV plus a short summary.
