Emmanuel | Data Analyst 📊📉

Hi #DataFam, meet the Personal Finance Tracker Money management today is messy — cards, bills, savings and investments all over the place Spreadsheets? Too static So I built a product that tracks money & builds financial discipline Explore it here: public.tableau.com/app/profile/fa…

@bigboybuilder Thank you!

Thats very very clean looking man!!

Whooosh! Reached 200 followers on @tableaupublic today Thank you #DataFam

@Visual__DJ Thanks for featuring my work!

Tableau Bites 291st Edition is out today! Find the link in my profile, or Google “Tableau Bites” to prepare for your Sunday read today! #Tableau #TableauTips #TableauTraining

Pewbeam is live 🎉 This was just a dream, a dream I didn’t even know was possible—but I decided to pursue it anyway. Today, that dream is now a reality. We have a desktop app (Windows and macOS—this weekend) that can do all of this and even more. Over the last six months, I’ve pushed myself and my team hard, and I’ve seen people become hopeful and genuinely blessed by this product. I’ve received strong support from pastors, church members, techies, and several media houses and reporters. It has been a great honor to spend myself on something worthwhile. We’ve built an AI-native presentation app that displays relevant scriptures on screen in under 80 ms, without needing a volunteer. We’re starting with scriptures, but we’re growing into a comprehensive presentation software, with slides launching next month. From testing @pewbeam_ai in churches over the last four weeks, pastors have been able to focus on what matters instead of juggling or micromanaging the media team while preaching. Church members have been able to follow their pastor’s references in real time and take better notes. In the words of a member from one of the test churches: “Pewbeam changed the way I follow sermons in church completely.” This is the kind of impact I see Pewbeam having on people’s faith and on how church and worship are done. Pewbeam’s mission is to ensure the Church is not left behind in the AI era. We’re starting with this application, with many more to come in the next few months. We’ll keep working with stakeholders in the Christian faith, collect feedback, and build tools that better support discipleship. And unlike previous waves of technology, I believe we can be among the first movers in this AI revolution. With all that said, the final build of the app is ready, and we’re launching for public download on February 25, 2026. The app has a generous free tier for small churches and fellowships, and a paid plan (location-based pricing) that unlocks unlimited access to all features. If you’ve been following this journey, I appreciate you, and I assure you it will be worth it. Please download, subscribe, and use in your church.

If your data is wrong, your dashboard is just presenting the wrong numbers in a beautiful format. Clean the data first. Everything else follows Read full documentation github: lnkd.in/eyq6QvNg What is the craziest issue you have ever found in a dataset while cleaning?

- Water Heaters cost ₦607 from one supplier and ₦920 from another, same product, different prices - The average restock cycle is 325.1 days, nearly a full year, making it almost impossible to respond to market fluctuations.

This week, I worked on an Inventory Risk & Capital Exposure Analysis for a distribution company They suspected operational risks but lacked the data clarity to quantify them: Capital Exposure, Over/Understock, Supplier Dependence, Warehouse Concentration. ~ A Thread 🧵

@Mbadiwejesse Hi fellow data analyst, Here is my portfolio, I have exciting projects there engfakayode.github.io linkedin.com/in/fakayode/

If you're in data let's connect

@ezekiel_aleke Hi, Fellow data analysts I'm Emmanuel I have have worked on several exciting projects You can check them out here: engfakayode.github.io linkedin.com/in/fakayode/

If you’re a data analyst or you’re interested in data analysis Say hi in the comment and connect with each other

@VizWithVictory @tableau Congratulations

In Jan 2024, I was just a fan of the @tableau community. Today, I’m a 2x Ambassador and a 2026 Tableau Visionary! 🏆 I almost didn't nominate myself, but I am glad I eventually did! Huge shoutout to @GB, we both made the list from Nigeria! 🇳🇬🥂 #TableauVisionary #DataFam

4. We built a composite Engagement Score using a weighted average of Opportunity Duration, Age & Opportunity Category. Instead of juggling multiple columns, we now have one single metric that summarises how engaged a learner is making it much easier to compare, segment, and model

We multiplied Opportunity Duration by Age to create a single feature that captures how both factors interact — because a 22-year-old in a 6-month internship behaves very differently from a 40-year-old in the same role.

How clean your data is can greatly affect your analysis and ML model performance. This is a major lesson I learned this week. We wrapped up Week 1 of my internship with @Excelerate on Monday. The task was to make messy Saint Louis University students data clean and ML-ready.