Felix Asibor ๐Ÿ“Š Profile
Felix Asibor ๐Ÿ“Š

@Fenalytics

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๐Ÿ“Š Data Analyst | Excel, SQL, Python, Tableau, and Power BI | Transforming Raw Data into Business Insights

Joined March 2023
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@Fenalytics
Felix Asibor ๐Ÿ“Š
3 months
Hello X. Iโ€™m Felix Asibor โ€” book writer, crypto & Forex trader, now transitioning into tech as a Data Analyst. ๐Ÿ“Š. Bringing my love for insights & strategy into the data world. Letโ€™s connect, #DataFam! ๐Ÿš€โœจ. #DataAnalytics #CareerTransition #CryptoTraderToDataAnalyst
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@Fenalytics
Felix Asibor ๐Ÿ“Š
23 days
11/. This was my first deep dive into Tableau and I canโ€™t wait to explore more. #DataAnalytics #Tableau #DataVisualization #DashboardDesign #AnalyticsJourney #DataStorytelling.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
23 days
10/. You can interact with the dashboard here:. Or read the full report + insights here:.
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github.com
Contribute to fasibor/Aldi-Sales-Performance-Report development by creating an account on GitHub.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
23 days
9/. Takeaway:.From 2020 to 2023, the business scaled in both size and efficiency:.๐Ÿ”ผ More customers.๐Ÿ”ผ More orders.๐Ÿ”ผ Better profit margins.๐Ÿ”ผ Higher revenue per customer.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
23 days
8/. ๐Ÿ”น 2023.โ€ข Sales hit $733K (+20.36%).โ€ข Profit reached $93K (+14.24%).โ€ข Units: 12,000 | Orders: 1,687.โ€ข Sales Per Customer: $1,058.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
23 days
7/. ๐Ÿ”น 2022.โ€ข Sales: $609K (+29.47%).โ€ข Profit: $82K (+32.74%).โ€ข Sales Per Customer: $955.โ€ข Orders jumped to 1,315.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
23 days
6/. ๐Ÿ”น 2021.โ€ข Sales dropped slightly (โ€“2.83%) to $471K.โ€ข BUT profit rose 24.37% to $62K.โ€ข Orders: 1,038 | Sales Per Customer: $821.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
23 days
5/. ๐Ÿ”น 2020 (Baseline).โ€ข Sales: $484K | Profit: $50K.โ€ข Units: 8,000 | Orders: 969.โ€ข Customers: 595 | Sales per Customer: $814.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
23 days
4/. To test my skills, I built an end-to-end sales performance dashboard for a retail store, tracking trends from 2020 to 2023. Hereโ€™s a quick look at the KPIs๐Ÿ‘‡.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
23 days
3/. I quickly realized Tableau isnโ€™t just about visuals. Itโ€™s about crafting experiences; interactive, structured, and insightful. It lets you tell data stories in an entirely new way. And honestly? Itโ€™s FUN!.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
23 days
2/. In Tableau, you create a separate sheet for every chart and KPI. You bring it all together using containers and layout tricks. It felt unusualโ€ฆ but then powerful.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
23 days
1/. Hello #datafam . Last week, I dove into something new โ€” ๐—ง๐—ฎ๐—ฏ๐—น๐—ฒ๐—ฎ๐˜‚ and itโ€™s been nothing short of exciting! Coming from more flexible BI tools, Tableau felt different at firstโ€ฆ but then it clicked.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
29 days
Learning data analytics has been exciting and eye-opening!. Every step, from SQL basics to PostgreSQL joins, feels like a superpower unlocked. Itโ€™s just the beginning, but Iโ€™m loving the journey. Do have a lovely weekend!. #Datafam #DataAnalytics #SQLJourney #VephlaUniversity
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@Fenalytics
Felix Asibor ๐Ÿ“Š
1 month
13/ . Tool used: Power BI. This project was a powerful reminder that data can challenge assumptions and help us design better systems for learning. #DataChallenge #PerformanceData #PowerBI.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
1 month
12/. 5. Invest in mobile digital classrooms and better infrastructure to support learning in rural communities. 6. Create male-focused engagement programs, using gamified or interest-based learning to keep boys academically motivated.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
1 month
11/.3. Use attendance-based rewards or stipends to reduce absenteeism, especially in underperforming regions. 4. Launch parent education initiatives, such as workshops or toolkits, to support children regardless of parentsโ€™ education level.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
1 month
10/. Recommendations.1. Expand access to tutoring, especially in rural areas, through online platforms or community learning hubs. 2. Introduce structured study skills programs and time management workshops, particularly for low study-hour students.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
1 month
9/. 6. Gender Gap. Females slightly outnumbered males in the high-performing category.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
1 month
8/. 5. Parental education matters. Students whose parents had tertiary education scored 73, while those with no formal education scored 68.
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@Fenalytics
Felix Asibor ๐Ÿ“Š
1 month
7/. 4. Urban vs. rural performance:.Urban students had better attendance (75% vs. 69%).and scored higher in exams (72 vs. 69).
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@Fenalytics
Felix Asibor ๐Ÿ“Š
1 month
6/. 3. Attendance has a direct impact. Students with good attendance scored 75 on average while those with poor attendance scored just 65.
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