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Fiverr Pro
English
$
USD
I will build a churn or ltv model to improve customer retention
AI, Data Science, Cloud Deployments
A technology expert with a decade of experience solving difficult problems and building high performance tech. I have managed teams, built infrastructure for multi-billion dollar companies and designe...
Vetted by Fiverr Pro
Christopher C was selected by the Fiverr Pro team for their expertise.
Vetted for
AI Development
Data Science & ML
About this Gig
Vetted Pro
Churn and LTV are the two numbers that decide whether your business compounds or leaks. I build models that tell you which customers will leave, when, and which are worth keeping.
I'm a data scientist with 10+ years in industry, including a Head of Data Science role at a logistics startup and prior work at Glovo and Screwfix. I've built retention and LTV systems in production, not just notebooks.
What you get:
- A trained model on your customer data (churn probability or predicted LTV)
- A ranked list of at-risk or high-value customers you can act on
- Feature importance so you understand why customers leave or stay
- Clean, documented code you can hand to your team
- Optional deployment as an API or scheduled pipeline
Typical use cases: SaaS retention, subscription businesses, e-commerce repeat-purchase, marketplace supply/demand retention.
Before ordering, message me with a short description of your data and goal so I can confirm scope and recommend the right package. Custom quotes available for larger datasets or multi-model work.
Programming language:
Python
Frameworks:
Scikit-learn
•
PyTorch
Tools:
Jupyter Notebook
•
TensorFlow
•
MLflow
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What data do you need from me?
A customer table with transactions or usage events, ideally 12+ months of history. CSV, Parquet, or a database dump all work. I can also pull from Stripe, HubSpot, or a Postgres connection.
Do you handle data cleaning?
Yes — light to moderate cleaning is included. If the data is substantially broken, I'll flag it and quote separately.
Will the model work on my specific business?
Churn and LTV models generalise well across subscription, e-commerce, and marketplace businesses. I'll tell you honestly before you order if your data isn't suitable.
What models do you use?
Usually gradient-boosted trees (XGBoost, LightGBM) for churn, and a combination of BG/NBD + Gamma-Gamma or ML regression for LTV. I pick based on your data, not fashion.
Is my data kept private?
Yes. NDA available on request. Data is deleted after delivery unless you want ongoing support.
