Customer churn occurs when customers stop using a company's service. For subscription-based busin...

Customer churn occurs when customers stop using a company's service. For subscription-based busin...Customer churn occurs when customers stop using a company's service. For subscription-based busin...

The network for creativity

Join 1.25M professional creatives like you

Connect with clients, get discovered, and run your business 100% commission-free

Creatives on Contra have earned over $150M and we are just getting started

Back to feedPost

Meghana Uppar

• Sep 7

Customer churn occurs when customers stop using a company's service. For subscription-based businesses, losing customers directly affects revenue and long-term growth.

This project analyzes a customer churn dataset to understand customer behavior and identify factors that cause customers to leave the service.

Companies like Netflix and Spotify perform churn analysis to improve customer engagement and retention.

Completed work

Jupyter Data Analysis

Syed Abdul Qadir Gilani

• Sep 27

Messy Data In. Clearer Decisions Out. 📊

Over the past year, I've noticed most businesses don't struggle because they lack data — they struggle because that data never turns into a decision.

That's the gap I work in:

→ Cleaning and analyze data with Python & R

→ Turning findings into investor-ready pitch decks

→ Polishing the final write-up so nothing gets lost in translation

If your team has data sitting in spreadsheets with no story attached, or a pitch deck that needs to actually land — that's exactly where I can help.

Open to projects. Let's talk 👇

Python R Google Slides Data Analysis

Mohammad AbdelGhani

• Sep 27

it's an ML project and its main goal is to predict for a telco company whether someone is likely to churn or not based on their data

Completed work

Machine Learning Engineering Cursor

Rooney Kibet

• Sep 27

BEFORE: Client had messy Excel inventory with 500 rows, duplicates (A12 / a12), blanks, wrong prices like "$ 2.5" and "N/A", and different warehouse names (KER / ker / Kericho).

AFTER: I did:

Removed 12 duplicate SKUs

Standardized item names to Title Case

Fixed QTY and Prices to 2 decimals

Unified Warehouse to Kericho

Made sheet ready for pivot dashboard

Result: Clean, ready-to-use inventory in 2 days using Excel.

Tools: Excel, Remove Duplicates, Text to Columns, TRIM, PROPER