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$
USD
I will build an interactive python data analytics dashboard
Python Developer for Data Analytics Automation and Web Scraping
I help businesses turn raw data and repetitive workflows into automated data systems, interactive dashboards, and actionable insights.
From web scraping and API integration to data cleaning, PostgreS...
About this Gig
Customer churn is expensive, but your data can reveal where retention efforts matter most.
I will turn your customer data into an interactive retention dashboard that helps you identify high-risk segments, understand churn patterns, and prioritize action.
Your dashboard can include:
- Churn and retention KPIs
- Customer segmentation and filters
- Tenure and contract risk analysis
- Churn drivers and reported reasons
- Priority segments and financial exposure
- Filtered CSV and Excel reports
- Actionable executive insights
Built with Python, Pandas, Streamlit, Plotly and openpyxl for a clean and maintainable solution.
Live Demo: https://nisa-retention-intelligence.streamlit.app/
GitHub: https://github.com/niisa0/customer-retention-intelligence
Please contact me before ordering if you have multiple files, extensive cleaning needs, or custom requirements.
Expertise:
Business Insights
•
Trends
•
Churn & Retention
Technology:
Excel
•
Other
Programming language:
Python
•
SQL
My Portfolio
FAQ
What file formats can you work with?
I can work with CSV and Excel files. If your data is in another format or source, please contact me before ordering so I can review it.
Do you clean the data before building the dashboard?
Yes. I can handle common data quality issues such as missing values, inconsistent formats, duplicates, and incorrect data types before analysis.
Can you customize the dashboard for my business?
Yes. The KPIs, charts, filters, and analysis will be selected according to your dataset, goals, and business questions.
What do you need from me to get started?
Please provide your dataset, the main questions you want answered, the KPIs you want to track if known, and any dashboard preferences or examples you have.
