Hello X I’m Felix Asibor — book writer, crypto & Forex trader, now transitioning into tech as a Data Analyst. 📊 Bringing my love for insights & strategy into the data world. Let’s connect, #DataFam! 🚀✨ #DataAnalytics #CareerTransition #CryptoTraderToDataAnalyst

Access to clean energy shouldn’t break the bank. Our Pay-As-You-Go Solar Solution lets households enjoy reliable power with flexible payments, lighting up communities, boosting productivity, and driving sustainable growth. #InnovateNaija #NASENIImpact #YouthInnovation @Nasenihub

This project reminded me why I love data storytelling. Even in something as simple as pizza sales, the numbers reveal fascinating patterns about behavior, loyalty, and business strategy Check out the full report here: https://t.co/pcCkovrDww #Datafam #PowerBi #DataChallenge

5️⃣ Assumptions ≠ reality. Weekends underperformed compared to Fridays. And October, despite having low sales had the highest loyalty. Data often challenges what we think we know.

4️⃣ Chicken dominates the menu. Thai Chicken, BBQ Chicken, and California Chicken pizzas consistently outperformed the rest. Customer preference is clear: chicken-based pizzas = $$$.

3️⃣ Size = profit. Large pizzas aren’t just popular; they’re the most profitable and the most frequently reordered. They’re the core driver of both revenue and loyalty growth.

2️⃣ Customer loyalty is climbing. Repeat orders grew steadily throughout the year, hitting 24% by November. That’s a huge sign that retention strategies can have a measurable impact.

1️⃣ Seasonality is real. Sales follow a clear cyclical pattern, peaking in March, July, and November, but dipping in April, August, October, and December. Timing your campaigns around these highs and lows could change everything.

🍕 From cravings to queries: What pizza taught me about data. I kept seeing pizza dashboards everywhere, so I challenged myself to do one too. But not just a pretty viz. I did real quantitative analysis in SQL and built a full Power BI story. Here’s what I discovered 🧵👇🏽

I need access to this course

Windows Functions >> Aggregate functions. Why? Windows functions allow you to provide some level of details to your calculations, unlike aggregate functions that compress everything together. Group by function is the enemy😈😈😈

Hello #Datafam, I just cracked Month-over-Month sales analysis using SQL LAG()! From Excel/Power BI to pure SQL calculations & visualization #SQL #DataAnalytics

More than 250 practical SQL business scenarios with solutions. Multiple databases included. Beginner to advanced level exercises: Get from the thread for FREE.

This Resume has an ATS score of more than 88🤯 This Resume helped many in getting an interview calls from companies like Google, Microsoft, Amazon, and many more. 💼 I have personally used this single-column resume in my job hunting and got amazing results I am sharing the

TECH NEWBIE’S ROUTER FUNDING A tech newbie ’d get a router, This ‘d come with a 1 month of unlimited data. Hoping this goes a long way to helping a newbie out there who’d need this, if this is you, RT, drop me your tech niche below & Watch this space at (22:15:00 BST)

@TDataImmersed @VephlaUni 10/ From “I’m not good enough” to Hackathon Champion in just a few weeks. Your self-doubt is lying to you. Start. Show up. Keep going. #TDITechSummit #TDITechSummit2025

9/ Huge thanks to @TDataImmersed for hosting this Hackathon, and to my mentor @VephlaUni for the knowledge that made this win a possibility.

8/ And now… We are Grand Prize Winners 🏆

7/ But without a dataset, how could we prove it? We built our own data pipeline. We gathered data from scratch. We ran our analysis.

6/ Our solution? A modular, Pay-As-You-Go solar system. ✅ No upfront cost ✅ Scalable ✅ Community-powered

5/ We looked at the streets of Nigeria and saw the real problem: The crushing upfront cost of solar power.