You will get Bank deposit (churn or not) modeling


Project details
Unique Value Proposition.
Team Expertise.
Scalable Impact.
User-Centered Approach.
Ultimately, this project isn't just about creating something new — it's about creating something better, with lasting value and measurable outcomes.
Team Expertise.
Scalable Impact.
User-Centered Approach.
Ultimately, this project isn't just about creating something new — it's about creating something better, with lasting value and measurable outcomes.
Machine Learning Tools
NumPy, Python, TensorFlow, XGBoostWhat's included $200
These options are included with the project scope.
$200
- Delivery Time 10 days
- Number of Revisions 3
- Number of Model Variations 2
- Number of Scenarios 6
- Number of Graphs/Charts 10
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Fast 5 Days Delivery
+$50About David
Statistical modeling/ML | Credit risk
Allen, United States - 10:24 am local time
More than 11 years solid work experience of large-scale data analysis and providing advanced analytical and
technical supports for decision making, e.g. statistical modeling (developing Acquisition (Credit / Fraud), Behavior
Scorecards for retail credit portfolios), data mining, and business-driven analytics.
Ability to work independently in a fast-paced environment and handle multiple projects concurrently, attention to
details, hard worker, great team player.
Software/program language/methods: Python, SAS, SQL, Excel, Linux, Machine Learning.
Semi-automatically credit risk modeling package/pipeline internally developed (Python, SAS, R).
Credit bureau-like data parsing/wrapping, based on html/XML/Jason/PDF credit raw data.
Steps for completing your project
After purchasing the project, send requirements so David can start the project.
Delivery time starts when David receives requirements from you.
David works on your project following the steps below.
Revisions may occur after the delivery date.
Understand model application scenario, performance window.
what the customer's goal of the model?