Burabari retweeted
Hi Burabari,
If you’re really tired of applying for jobs and hearing nothing, try building relationships instead.
Some of the opportunities I’ve gotten didn’t come from job applications.
I reached out, started conversations, showed how I could help, and followed up.
Most of these job opportunities are filled before it’s posted.
40 percentage points. That's the average urbanrural electricity access gap across SubSaharan Africa and in Mauritania it's 94.
Built an interactive Power BI dashboard analyzing this for my @analystlabafric Internship.
Full breakdown: github.com/Kogbaraburabari/E…
#DataAnalytics
Built a Python ETL pipeline pulling live weather data for 5 cities, automated via GitHub Actions every 3h, stored in SQLite with retry logic + tests.
Part of my @analystlabafric internship.
github.com/Kogbaraburabari/w…
#Python #DataEngineering #ETL #AnalystLabAfrica
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Completed my AAPL historical stock analysis in Python as part of the @analystlabafric Africa internship.
Analysed returns, volatility, drawdowns, recovery & seasonality.
Max drawdown: -81.80%
[GitHub link]github.com/Kogbaraburabari/P…
#DataAnalytics #Python #AnalystLabAfrica
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Analyzed 11,162 bank customers to find out: why do some subscribe to a term deposit and others don't?
Biggest finding: customers with prior campaign success convert again at ~91% nearly 2x the average.
Full breakdown + 5 recommendations 🧵👇
#BusinessAnalytics #AnalystLabAfrica
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The country with the most COVID cases isn't the one hit hardest.
Adjust for population and San Marino, Austria, Slovenia top the list not the US, India, or Brazil.
Spent Week 4 of my @analystlabafric internship building this out in Power BI.
#AnalystLabAfrica #PowerBI
Week 3 of my Data Analytics Internship with @analystlabafric SQL & Data Querying ✅
25 queries across 2 databases (Chinook + Sales) joins, subqueries, window functions, indexing tests.
Best catch: a “revenue decline” that was actually just incomplete date data 👀
Burabari retweeted
This is tremendous 🤩 keep it up
Week 1-2 of my Data Analytics Internship with @analystlabafric done ✅
Cleaned & analyzed 2 real world datasets (E-commerce transactions + Netflix titles) using Python/Pandas from messy raw data to clean insights. 🧵👇
🎯 12.47% Profit Margin
From data cleaning and transformation to visualization and storytelling, this project was a great opportunity to turn raw data into actionable insights.
Still learning. Still building. One dashboard at a time.
#PowerBI #DataAnalytics #DataVisualization
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Still learning SQL today was all about data cleaning.
Dataset: World Layoffs
What I covered:
✅ Aggregations by country, year & stage, Rolling totals, Date parsing using SUBSTRING(), CTEs + DENSE_RANK() for top 5 per year
#SQL #DataCleaning #LearningInPublic
Weeks of learning, cleaning data, building models and it all led to this 👇 My Capstone Project with @TechSphereAcad is done! A full Logistics Operations data model in Power BI, this journey has leveled me up! 🚀 #PowerBI #TSAcademy #DataAnalytics


































