I will build a customer churn prediction model using machine learning and power

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Himu Analytics

About this gig

Are you losing customers but don't know why? I will help you identify churn patterns and predict customers who are likely to leave using Machine Learning and Data Analytics.

I specialize in building customer churn prediction models, risk analysis dashboards, and business intelligence solutions that help companies make data-driven retention decisions.

For this project, I developed a complete Telecom Customer Churn Prediction System using:

Python for data preprocessing and machine learning

Model comparison

Predictive risk scoring

Customer segmentation and churn analysis

Interactive Power BI dashboard for business insights

The dashboard provides insights into:

Customer churn rate analysis

Contract and payment risk factors

Service and tenure impact analysis

High-risk customer identification

Revenue at risk analysis

Customer retention opportunities

What you will receive:

Cleaned and analyzed dataset

Machine learning churn prediction model

Model evaluation and comparison

Business insights report

Interactive Power BI dashboard

Professional visualization and storytelling

I can help businesses understand WHY customers leave, WHO is likely to churn, and WHAT actions to Take!

Get to know Himu Analytics

Himu Analytics

Data Analyst : Power BI, Excel, Python and SQL

  • FromIndia
  • Member sinceDec 2019
  • Avg. response time1 hour
  • Languages

    Hindi, English
I'm a self-taught data analyst specializing in Power BI dashboards and Excel reporting. My core skills include Power BI, Excel, Power Query, Python (Pandas, NumPy, Matplotlib, Seaborn), MySQL and SQL, and Exploratory Data Analysis (EDA). I build interactive dashboards, clean messy datasets, automate reports, and turn raw data into clear insights you can act on. I am early in my freelance journey, which means full attention, fast turnaround, and genuine care on every project. Message me with your data and goals. I will explain exactly how I would approach it before you order.

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