Currently working on a Nigerian retail and e-commerce POS dataset that captures transaction-level sales across stores in different cities.
What are you working on?
I analyzed 1,200 e-commerce orders to find where revenue was being lost.
41.4% of orders were cancelled or returned.
Only 703 out of 1,200 actually brought in revenue.
Here’s what the data revealed 👇
I’m working to become the kind of analyst that can take messy business data, find what matters, explain it clearly, and connect it to practical decisions. I’m continuing to build my skills in data analysis, SQL, visualization, and business-focused analytics.
I'm open to junior roles and freelance projects where I can apply these skills to real business problems.
Full project here:
github.com/Blessing-Obot/Dec…
My week 1 task was at Decodelabs was data cleaning with Excel. The dataset had 1,200 records and 14 columns.
github.com/Blessing-Obot/Dec…
Here are the steps I took and a limitation I encountered:👇
- I formatted all values in the UnitPrice and TotalPrice columns to two decimal places.
One limitation I found in this dataset was that the currency was not specified. Because of this, I did not add a currency symbol to the TotalPrice or UnitPrice columns.
The full data cleaning report and Excel file are available here:
github.com/Blessing-Obot/Dec…
Blessing Obot retweeted
I feel like learning Data Analytics would be much easier if there were more companies willing to take interns and teach them the actual end-to-end workflow.
Because learning Excel, SQL and Power BI is one thing, but knowing how data actually moves from a business problem to analysis and then to a decision is another thing entirely.
Sometimes you just need to see how the work is actually done in real life.
I’m starting a one-month Data Analytics internship with Decode labs.
Looking forward to working on more projects and putting my skills into practice.
Built my first dashboard! 📊
I worked on a logistics operations dataset with 14 tables to investigate delivery performance using SQL + Excel.
The findings were interesting
Full story on LinkedIn 👇
tinyurl.com/3xpzcaka










