Data β€’ AI/ML β€’ Geospatial 🌍 | Tech for Global Impact | Exploring the future through tech πŸš€

Joined November 2021
183 Photos and videos
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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
Social Saturday for me = Data, Dashboard, and Strategic Insights. πŸ€“πŸ’» Meanwhile, everyone else is outside touching grass😭 How does your Social Saturday look like today? #Design #PowerBI #DataScience #DataEngineering #TechLife #Data
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πƒπšπ­πš 𝐚π₯𝐨𝐧𝐞 ππ¨πžπ¬π§β€™π­ 𝐜𝐫𝐞𝐚𝐭𝐞 𝐒𝐦𝐩𝐚𝐜𝐭. A dashboard can show you declining sales. Knowledge explains the cause. Storytelling inspires action. That’s the difference between information and transformation. #Data #Storytelling #DataLiteracy #BusinessIntel
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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? πŸ‘‡
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Social Saturday for me = PostgreSQL, ERDs, and foreign keys. πŸ€“ #PostgreSQL #SQL #DataScience #DataEngineering #TechLife #DatabaseDesign
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1/2 From β€œI hope I finish this” β†’ to β€œCertificate earned.” 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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2/2 Now I’m thinking… what’s next to build? πŸ€” #MachineLearning #WiMLDS #DataScience #LearningJourney
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𝐇𝐨𝐰 πƒπšπ­πš 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐒𝐨𝐧 𝐖𝐨𝐫𝐀𝐬? Think puzzle pieces. Each data source = part of the story. Integration = the full picture. Without it, you’re just guessing. Are your data systems connected? πŸ‘‡ #DataIntegration #Analytics #Tech
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A few days ago, I started a project to solve a retail customer shopping behavior problem. Today, I’m wrapping it up. Here’s what the full journey looked like πŸ‘‡ 🧡
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Biggest lesson from this project: Data analysis isn’t about tools. It’s about asking the right questions and communicating answers clearly.
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That’s a wrap on this project. Next: more real-world data problems. If you followed this series, I appreciate it. Let’s connect 🀝
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Day 1 β†’ Cleaned & structured messy data Day 2 β†’ Analyzed customer behavior with SQL Day 3? Turning insights into decisions. 🧡
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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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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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