Data β’ AI/ML β’ Geospatial π | Tech for Global Impact | Exploring the future through tech π
Joined November 2021
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183 Photos and videos
May 23
May 23
Quote with your screen on a Data Science, Data Analytics, AI/ML, or any other tech project you're permitted to share publicly.
Let's see what you're building, learning, or researching.
#tech #DataScience #dataanalysis #machinelearning
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ola.ola_tech retweeted
May 16
Social Saturday for me = Data, Dashboard, and Strategic Insights. π€π»
Meanwhile, everyone else is outside touching grassπ
How does your Social Saturday look like today?
#Design #PowerBI #DataScience #DataEngineering #TechLife #Data
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May 12
ππππ ππ₯π¨π§π ππ¨ππ¬π§βπ ππ«ππππ π’π¦π©πππ.
A dashboard can show you declining sales.
Knowledge explains the cause.
Storytelling inspires action.
Thatβs the difference between information and transformation.
#Data #Storytelling #DataLiteracy #BusinessIntel
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May 12
Data tells you what is happening.
Knowledge tells you why.
The story tells you what to do with it.
Which of these do you think organizations struggle with most? π
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Social Saturday for me = PostgreSQL, ERDs, and foreign keys. π€
#PostgreSQL #SQL #DataScience #DataEngineering #TechLife #DatabaseDesign
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From βI hope I finish thisβ β to βCertificate earned.β
Just completed the 11-week Introduction to Machine Learning Bootcamp with @WiMLDS_Lagos
More than a certificate β this journey was about consistency, learning through uncertainty, and building real-world skills.
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Now Iβm thinkingβ¦ whatβs next to build? π€
#MachineLearning #WiMLDS #DataScience #LearningJourney
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Apr 30
ππ¨π° ππππ ππ§πππ π«πππ’π¨π§ ππ¨π«π€π¬?
Think puzzle pieces.
Each data source = part of the story.
Integration = the full picture.
Without it, youβre just guessing.
Are your data systems connected? π
#DataIntegration #Analytics #Tech
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Apr 27
A few days ago, I started a project to solve a retail customer shopping behavior problem.
Today, Iβm wrapping it up.
Hereβs what the full journey looked like π
π§΅
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Apr 27
Biggest lesson from this project:
Data analysis isnβt about tools.
Itβs about asking the right questions and communicating answers clearly.
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Apr 27
Thatβs a wrap on this project.
Next: more real-world data problems.
If you followed this series, I appreciate it.
Letβs connect π€
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Apr 26
Day 1 β Cleaned & structured messy data
Day 2 β Analyzed customer behavior with SQL
Day 3?
Turning insights into decisions.
π§΅
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Apr 26
β Boost subscriptions (increase customer lifetime value)
β Strengthen loyalty programs
β Rethink discount strategy (balance revenue vs margin)
β Promote top-rated & best-selling products
β Focus marketing on high-value segments
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Apr 26
This is where data becomes business impact.
From raw data β to analysis β to decisions.
Day 4: Final report & presentation.
Follow along.
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