From Messy Data → Decision-Ready Data 📊 Cleaned, validated & analyzed an e-commerce dataset usin...

From Messy Data → Decision-Ready Data 📊 Cleaned, validated & analyzed an e-commerce dataset usin...From Messy Data → Decision-Ready Data 📊 Cleaned, validated & analyzed an e-commerce dataset usin...

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

JULEKHA BEGUM

• Aug 26

From Messy Data → Decision-Ready Data 📊

Cleaned, validated & analyzed an e-commerce dataset using Excel + Pivot Tables.

Raw data → Clean data → Clear insights.

📌 Portfolio demonstration using sample data.

#DataAnalysis #Excel #DataCleaning #Ecommerce .

Microsoft Excel Data Analysis datacleaning

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

Data Analysis Microsoft Excel

Nency Purohit

• Sep 27

Cleaned and formatted a raw dataset in Excel by removing duplicates, fixing formatting issues, handling missing values, and organizing the data into a structured format for analysis.

Data Analysis Microsoft Excel

Syed Abdul Qadir Gilani

• Sep 27

A sample Python project showing my data cleaning workflow — removing duplicates, handling missing values, standardizing text fields, and summarizing sales by city using Pandas. This reflects the kind of cleanup and analysis I do for client datasets.