Charles | Data Analyst

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Charles | Data Analyst

Charles | Data Analyst

@CasmirCodesData

💻Data Analyst• I transform complex datasets into crystal-clear, actionable insights that empower your business to thrive. 💡• Excel | SQL | Power BI

A Place called Data Beigetreten Mart 2025
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Charles | Data Analyst
Charles | Data Analyst@CasmirCodesData·
Data never lies - I just help it speak 📈
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Charles | Data Analyst
Charles | Data Analyst@CasmirCodesData·
Let’s see some of your Excel dashboard designs
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Moses Noah
Moses Noah@real_mno·
@CasmirCodesData This is solid work 👏🏾👍🏾 May I ask how long it took you to finish this project Also I'd like to be mutuals
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Charles | Data Analyst
Charles | Data Analyst@CasmirCodesData·
Numbers lied 42M in Revenue ❌ 29M in Revenue ✅ A clothing business recorded two years of sales data across 2023 and 2024. On the surface, the numbers looked promising 500 orders placed, products moving, customers buying. So when management sat down to review performance, they expected the revenue figure to reflect that activity. They expected a number that matched the energy of 500 orders. What they got instead was confusion. The revenue was lower than anticipated, and nobody could explain why. They had sold more or at least it felt that way but the money did not add up. The business was making decisions based on total order volume without understanding that a significant portion of those orders never actually converted into real income. Returned goods were quietly eroding revenue. Cancelled orders were inflating their order count without contributing a single naira. Pending transactions were sitting unresolved, neither confirmed nor lost. And nobody was separating these outcomes from the genuine completed sales. The numbers were not wrong. They were just being read without context. That is where the data analyst came in not just to organise the data, but to translate it. To answer the question the business had been asking without realising it: we sold a lot, so where is the money? Here’s what the data actually showed: → Real revenue: ₦29.4M from completed orders only → Denim Jacket was the #1 product in both sales and revenue → Outerwear alone generated ₦12.1M → Abuja was the strongest city at ₦7.3M → 40% of sales came from online → 90% of 341 customers never came back → 2024 made more money without selling more that’s the smart pricing strategy. Here’s what I told them to fix: 1. Find out WHY customers are returning goods ₦3.4M is recoverable 2. Follow up on 54 pending orders before they become cancellations 3. Build a retention system losing 90% of customers after one purchase is a leaking bucket 4. Push harder online lowest cost, highest return channel 5. Never let the Denim Jacket go out of stock The numbers were never the problem. Reading them without context was. What other insight or recommendations can you make out of this?
Charles | Data Analyst tweet media
Charles | Data Analyst@CasmirCodesData

Wrapped up, will be sharing in few minutes.

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Charles | Data Analyst
Charles | Data Analyst@CasmirCodesData·
@SiloLens That’s were the customer satisfactory rate comes in… this is a highlight to my analysis didn’t put all out here …..
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silo_lens.base.eth
silo_lens.base.eth@SiloLens·
@CasmirCodesData They should also try to understand why the 90% of the customers are not returning after their first purchase. Could it be because of product or poor customer service? The pending orders, could it be because of the payment system?
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Jane Raymond
Jane Raymond@__chisomm__·
@CasmirCodesData Chef chef! This is so good. You can get answers from just looking at the dashboard
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J.A Olaoye
J.A Olaoye@JA_Olaoye·
You will jam something on your journey in Data… and its name is imposter syndrome. That moment when you start thinking: “Am I actually good?” “Do I really know this thing?” Meanwhile, you’ve been doing the work. That feeling has made many people stop just before their breakthrough. That’s the painful part. Truth is… growth will always make you feel like a beginner again. That’s the price of leveling up. I’ve seen strong people almost quit because of it. The real move? Keep shipping. Keep learning. Keep showing up. Confidence doesn’t come first… it comes after proof. Have you felt it before? How did you handle yours?
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Nwali Adaobi
Nwali Adaobi@NwaliAdaobi·
A data analyst on LinkedIn posted an analysis on breast cancer patients, I picked interest in the dataset as a medical graduate and also about to niche down to health care analyst. Working on this dataset has taught me things I didn't know earlier. Stay tuned for the final result
Nwali Adaobi tweet media
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Mine🤎
Mine🤎@Stephobimdike·
So, I got an internship offer today😭🙏
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vivian
vivian@vheeorji22·
How to screenshot on a laptop???😭 This is really frustrating 😭
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