I will customer churn analysis and predictive modeling in python

Vietnam

I speak Vietnamese, English

I turn data into decisions, churn, forecasting, customer analytics

Help businesses turn raw data into actionable decisions — customer analytics, churn prediction, demand forecasting, dashboards. Statistics student at Can Tho University (CTU), 7 hands-on GitHub projec...
About this Gig

Struggling to understand why customers are leaving or which ones are worth saving?

I help businesses turn raw customer data into clear, actionable retention decisions using Python and statistical modeling.

What I offer:

  • Exploratory data analysis & data cleaning
  • Customer churn analysis identify who's at risk and why
  • Predictive modeling (XGBoost, Logistic Regression) with accuracy metrics
  • Survival analysis estimate when customers are likely to churn
  • Customer segmentation (RFM) for targeted retention strategy
  • Clear, business-ready reports and recommendations

Why work with me:

I'm a Statistics student with hands-on, portfolio-proven experience including a churn prediction + retention budget model that identified 593 priority customers with an expected ROI of 1.02x7.08x. I focus on reproducible analysis and honest reporting, not just a number that looks good.

Tools: Python (pandas, scikit-learn, XGBoost, lifelines), SQL, SPSS, Streamlit.

Send me a message with a short description of your data or business question I usually respond within a few hours and I'm happy to clarify scope before you order.

Programming language:

Python

R

SPSS

SQL

Other

Technology:

Excel

Jupyter Notebook

MATLAB

Power BI

SPSS

Analysis Type:

Quantitative Analysis

Statistical Analysis

Expertise:

Web analytics

Business Insights

AB test

Prediction

Tools:

RStudio

Google Colab

Microsoft Excel

My Portfolio