Inemesit Archibong

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Inemesit Archibong

Inemesit Archibong

@Inem_arch

Entrepreneur|| Biology Educator (BSc.Ed)|| Data Analyst 🤭

Port Harcourt, Rivers Katılım Şubat 2023
169 Takip Edilen199 Takipçiler
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Tutu🦋🤍🦋
Tutu🦋🤍🦋@ola_mide9·
One day I will buy my parents good and beautiful things too
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Alexa 😚🌸⚖️
If prayers have ever worked for you, retweet this
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Inemesit Archibong
Inemesit Archibong@Inem_arch·
Hi #DataFam Been a little quiet lately. Sometimes you feel lazy. Sometimes progress slows down. But the important thing is getting back up and moving again. I finally completed my Pharmacy Sales & Profitability Dashboard Slow progress is still progress. #DataAnalytics #PowerBi
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The Data Immersed
The Data Immersed@TDataImmersed·
Something powerful is rising from the roots, and the data community is about to feel it! We didn't come this far to blend in, we came to build, disrupt, and lead. TDI Tech Summit 2.0 is loading, and it's giving culture, innovation, and pure African excellence like you've never seen before. Rooted in culture. Powered by Tech. Built by US. Are you ready to claim your seat at the table? Coming Soon | African Digital Ancestry Tag someone who needs to be in the room! #TDITechSummit2 #AfricanDigitalAncestry
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Annie🦋
Annie🦋@DabereNnamani·
TDI Tech Summit 2.0 is here!!!!! Are you ready???
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First Lady🤍
First Lady🤍@Patience_Uchech·
I badly want to be so good at what I do.
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EbereDavid
EbereDavid@iameberedavid·
@Inem_arch This looks really lovely and easy to understand. Nice work
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Victor Chidera Ugwu
Victor Chidera Ugwu@_VictorUgwu·
Freelancer to Freelancer The "Japa" pressure is real. The FOMO is real. But I chose to stay and build here. For about 2 years, I’ve been a freelance data analyst in Nigeria. And I’ll be honest: it is not the glamorous "digital nomad" life X/Linkedin promised me. The biggest hurdle isn't finding clients. It’s finding clients who understand what data actually is. Most SMEs here still run on gut feeling. "I don't need a dashboard, just tell me if I'm making profit." Data literacy is low. Very low. Sometimes, I spend 70% of a project just convincing them they have a problem before I can even propose a solution. Here is what the reality looks like: · You pitch a dashboard, they want a "report" (a typed sheet of paper). · You explain predictive modeling, they ask for a "general forecast" by next week. · You deliver insights, they ask why Excel couldn't do it for free. It’s exhausting. But it’s also an opportunity. If you are a data analyst (or any freelancer) feeling stuck in this environment, here is how I’ve learned to navigate it: 1. Stop speaking "Tech." Speak "Business." Nobody cares about your Python script. They care about "will I make more money?" or "how do I stop losing customers?" Translate every technical output into Naira and Kobo saved or earned. 2. Educate as you sell. I had to accept that part of my job is "Data 101" tutoring. I don't get annoyed anymore when a client asks a basic question. I use it to show them what they’re missing. When they see a simple chart that highlights a loss they didn't know they had, they suddenly become very interested in data. 3. Price for the "hand-holding." You will spend more time explaining why they need you than actually working. Factor that "consulting/teaching" time into your price. Don't just charge for the analysis; charge for the hand-holding. 4. Find the outliers. Not every business in Nigeria is clueless about data. The ones that are scaling (Fintech, some aggressive Tech startups, NGOs with international funding) get it. Target them. They pay better and they let you work. 5. Build a community. Freelancing here can feel lonely. The "noise" is loud (everyone is a "guru"). Find 2 or 3 other serious analysts. Share bad client stories, share opportunities. It keeps you sane. It’s not easy. Some months, I question my decision to stay. But I also believe that as data becomes the new oil globally, someone has to be here to help Nigeria refine hers. To the data people grinding in this country: I see you. What has been your biggest struggle dealing with clients who don't understand your value? Let's discuss 👇 #TECH #Freelancing
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Victor Chidera Ugwu
Victor Chidera Ugwu@_VictorUgwu·
I spent the last few weeks testing Claude inside Excel on real work. Not toy datasets. Not demo files. Actual messy exports, inherited workbooks I didn't build, weekly reports I used to dread opening on Monday mornings. Here's what I found: Most of what takes two hours in Excel should take twenty minutes. That's not an exaggeration. When Claude reads your actual workbook — your formulas, your column logic, your dependencies and you know how to ask it the right questions, the time savings are real and they compound every week. I broke down exactly how in a full article I just published on Substack. What's inside: → How to set up the Claude add-in inside Excel (takes under 5 minutes) → Formula debugging — how to trace errors in workbooks you didn't build, without spending 45 minutes reverse-engineering someone else's logic → Data cleaning — dates in three formats, names stored inconsistently, numbers saved as text. One prompt, sorted. → PDF to Excel — upload a locked PDF and pull the data directly into your sheet. No retyping. → Scenario analysis — ask what happens to your outputs if your assumptions change, and let Claude trace the full dependency chain instead of doing it manually → Recurring reports — update your summary tabs with new data and flag anything that shifted by more than 10%, without touching a single cell yourself → A prompt library you can steal and start using today There's also an honest section on what Claude in Excel cannot do — no VBA, no Power Query, and you should always verify outputs on anything that actually matters. I use it heavily and I still check my work. Read the full article here 👇 open.substack.com/pub/victorug65… If articles like this interest you, it's because you already know the direction things are moving. The analysts who are going to stand out in the next two to three years aren't just the ones who know Excel. They're the ones who understand supply chains, can read data across the full value chain, and know how to turn that into decisions. That's exactly what my 7-Week Supply Chain Analytics Bootcamp is built for. We start Friday, 27th March — that's next week. Investment: Regular price: ₦100,000 / $85 Early bird (closing before March 27): ₦80,000 / $65 And if the full payment isn't convenient right now 50% installment is accepted. Pay half to secure your seat, balance later. If you've been thinking about this, now is the time to move. Drop "BOOTCAMP" in the comments or send me a DM and I'll send you everything you need to know. #DataAnalytics #SupplyChainAnalytics #Excel #Bootcamp #DataChainAnalytics
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Joy.xls
Joy.xls@joyibe_·
Self-studying data analysis? One of the hardest things is figuring out what projects to build. So I compiled 100+ data analytics portfolio project ideas across 16 industries, categorized by beginner, intermediate, and advanced levels. Use this to build a portfolio that actually stands out. Link below 👇 docs.google.com/document/d/19y…
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