Barry's Data Insights

@ezekiel_aleke Python

Difficult but pick one to work with: Let’s see how many of you are like me😅

@DrDestinyyy @ezekiel_aleke Okay

@B_DataInsights @ezekiel_aleke 👏🏾👏🏾👏🏾 You are doing well. Mutuals? Let’s connect

Just built a fully interactive Excel Sales Dashboard from 2,000+ rows of raw data! 📊 ✅ ₦2.3B Revenue | ₦465M Profit ✅ 4 Pivot Charts ✅ 2 Interactive Slicers @ezekiel_aleke #Excel #DataAnalytics #DataAnalyst #LearningInPublic

@stellaanalyzes @ezekiel_aleke Thanks you

@B_DataInsights @ezekiel_aleke This is amazing! WELDONE!

@stellaanalyzes @ezekiel_aleke Thank you

@ExcelPowerBI_01 @ezekiel_aleke Okay thanks for the tip

@B_DataInsights @ezekiel_aleke Looks good! Next time put those char on a rectangle! It looks flat

@Tyana352 @TSA @Abayomzt Thank you

@B_DataInsights @TSA @Abayomzt This is soo clean 👌👌

My first excel project completed. #DataAnalytics #Excel #LearningInPublic

@Abayomzt @TSA Thanks sir

@B_DataInsights @TSA Well donee This is goodd

✅ Day 4 of my Data Analyst study Worked on an Excel dataset — analyzing employee data, salaries & departments 📊 Getting more comfortable with real data.@ezekiel_aleke #DataAnalytics #Excel #LearningInPublic

I just reached a new milestone in my Data Analytics journey with TS Academy! The experience has been incredibly rewarding. app.tsacademyonline.com/xtym8

✅ Day 3 of my Data Analyst study Completed my TS Academy Excel quiz — scored 93% (14/15) 📊 Learning. Practicing. Improving. @ezekiel_aleke @TSAcademyOnline #DataAnalytics #Excel #LearningInPublic

Data Entry = Excel Junior Data Analyst = SQL + Excel Data Analyst = SQL + Excel + PowerBi Data Scientist = SQL + Excel + Python + ML Data Engineering = SQL + Python/Java + AWS + Spark + ETL The bare minimum.

✅ Day 2 of my Data Analyst study Focusing on Excel. Today I learned: • SUBSTITUTE() • TEXT() • UPPER(), LOWER(), PROPER() • LEN() Learning a little every day. 📊 @ezekiel_aleke @TSAcademyOnline #DataAnalytics #Excel #LearningInPublic

@Johnsontaiwo_ Road map

If you're a Data Analyst, Risk Analyst, or aspiring FinTech Analyst who wants to move from reporting dashboards to making financial decisions, read this: Dashboards are not enough. Modern financial institutions promote analysts who can: • Quantify credit risk • Detect fraud trade-offs • Model expected loss • Optimise portfolio returns • Allocate capital responsibly Most analysts learn tools. Very few learn capital thinking. So I built the FinTech Capital Intelligence Blueprint to move you from metric reporting to capital decision intelligence. A system with two parts: >> 1. Finance & FinTech Analytics Learning Framework Learn how institutions actually operate: • Financial system mechanics • FinTech unit economics under risk • Governance & regulatory thinking • Capital allocation logic • Executive financial communication >>2. The 12-Week Practical FinTech Analytics Roadmap Build 10 real-world projects: • BNPL unit economics • Payments revenue intelligence • Credit risk modelling • Fraud optimisation • Portfolio stress testing • Capital allocation simulation • LTV & churn economics • AML optimisation • Credit limit strategy • Revenue forecasting This is not decorative analytics. This is institutional-level financial thinking. If you want the roadmap: 1️⃣ Like 2️⃣ Repost 3️⃣ Comment ROADMAP 4️⃣ ‼️Send me a DM, and I’ll share it.

✅ Day 1 of consistent Data Analytics study Today, I learned: • Data gathering, storage, input & analysis • SUM() function • AutoFill • Concatenate • TEXTJOIN() • TODAY() function Small progress every day. 📈 #DataAnalytics #LearningInPublic @ezekiel_aleke

Graduate Engineer at last

Engineer at last