You will get a custom ML model for customer churn & purchase prediction

Berker O.Status: Offline
Berker O.

Let a pro handle the details

Buy Machine Learning services from Berker, priced and ready to go.
Berker O.Status: Offline
Berker O.

Let a pro handle the details

Buy Machine Learning services from Berker, priced and ready to go.

Project details

This project delivers a custom predictive machine learning model tailored to your business problem—such as churn prediction, purchase propensity, default risk, or next-best-action. The focus is on practical, explainable models designed for real-world use and smooth handover to your team.

I work with you to understand your business constraints, data quality, and success metrics, then build a model that supports real decisions (targeting, prioritization, risk reduction).

You’ll receive:
-A trained and validated predictive model
-Clear explanation of key drivers and features
-Performance metrics aligned with business goals
-Practical next steps for deployment or iteration

An optional add-on is available to expose the model via a simple inference API for easy integration.

All shared data and project details are treated as strictly confidential and used only for this project. An NDA can be signed if required.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, SQL, Vertex AI, XGBoost

What's included $1,200

These options are included with the project scope.

$1,200
  • Delivery Time 20 days
  • Number of Revisions 2
  • Number of Model Variations 3
    • Model Validation/Testing
    • Model Documentation
    • Data Source Connectivity
    • Source Code
Optional add-ons You can add these on the next page.
Fast 10 Days Delivery
+$800
Additional Revision
+$150
Additional Model Variation (+ 2 Days)
+$300
API (+ 7 Days)
+$800

Frequently asked questions

Berker O.Status: Offline

About Berker

Berker O.Status: Offline
Senior Data Scientist | Recommendation, Ranking & Personalization
Istanbul, Turkey - 3:35 am local time
Many recommendation and ranking systems fail not because of the model, but because of misaligned objectives, biased data, or weak evaluation setups. I help teams diagnose what’s actually broken and fix it before more time and budget are wasted.

I’m a senior data scientist with 13+ years of experience building and scaling production-grade recommendation, ranking, and personalization systems. My work focuses on real business outcomes such as engagement, conversion and retention, not just offline metrics.

I specialize in:
-Diagnosing underperforming recommendation & ranking systems
-Designing retrieval + ranking architectures
-Aligning metrics, A/B testing, and business goals
-Production ML pipelines, model serving, and monitoring

If you already have a model but results are disappointing or you want to design the system right from the start, I can help you take the right next step with clarity and confidence.

Steps for completing your project

After purchasing the project, send requirements so Berker can start the project.

Delivery time starts when Berker receives requirements from you.

Berker works on your project following the steps below.

Revisions may occur after the delivery date.

Problem framing & target definition

Baseline model to establish performance benchmark

Review the work, release payment, and leave feedback to Berker.