Freelance Data Analysts in Federal Capital Territory
Freelance Data Analysts in Federal Capital Territory
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Mustofa Al-Ameen Mustafa
pro
Abuja, Nigeria
UI/UX Designer & Prompt UI Engineer 🚀
$1k+
Earned
1x
Hired
5.0
Rating
216
Followers
Expert
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UI/UX Designer & Prompt UI Engineer 🚀
0
AI-Powered Dashboard Development
0
9
4
Modern Analytics Dashboard - Marketing & Sales UI
4
22
0
Admin Dashboard Development for Music Platform
0
20
3
Procurement Management Interface Development
3
31
Data Analyst
(3)
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Adeniyi Ayeni
Abuja, Nigeria
Data analyst giving insights on data
7
Followers
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Data analyst giving insights on data
0
Spotify User Music Streaming Analysis
0
0
1
From Ratings to Reviews: Understanding Reader Behavior
1
3
1
Healthcare Facilities Distribution and Funding Analysis
1
9
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Data Analyst
(2)
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Lile Ati
Abuja, Nigeria
Efficient in data analysis and visualizations + more..
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Efficient in data analysis and visualizations + more..
0
MTN Customer Churn 2025 Analysis Report
0
6
0
Olympic Medal Count Visualization for Paris 2024
0
0
0
Farmers' Market Sales Data Analysis and Visualization
0
2
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(3)
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Chinelo Ezenwafor
Federal Capital Territory, Nigeria
Data Analyst, Researcher, Statistician
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Data Analyst, Researcher, Statistician
0
Predicting House Prices for a Real Estate Company.
0
5
0
Identifying Trends and Patterns in Missed Medical Appointments
0
9
0
Factors that Influence Borrowers' Habits for a Loan Company
0
1
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(3)
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Sakiru Akinpelu
Abuja, Nigeria
Insightful Data Analysis Tailored to Your Needs
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Insightful Data Analysis Tailored to Your Needs
0
Stridestyle Customer Service Analysis Using Microsoft Power BI
0
28
0
Stridestyle Customer Service Analysis Using Microsoft Power BI
0
0
0
Stridestyle Customer Service Analysis Using Microsoft Power BI
0
9
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(3)
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Imaobong Njokko
Federal Capital Territory, Nigeria
Data and Business Analyst
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Data and Business Analyst
0
GitHub - imanjokko/Abenson-Sales-Dashboard: This is a data visu…
0
10
0
imanjokko/PizzaRunner
0
8
0
LINEAR REGRESSION FOR ADMISSION PREDICTION- A COMPETITIVE STRAT…
0
10
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(3)
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Isola Emmanuel
Abuja, Nigeria
Meticulous Data Analyst & Visualizer
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Meticulous Data Analyst & Visualizer
0
Public Borrowing Down, Economy Up? Exploring UK Fiscal Shifts
0
3
0
Electoral Fraud Detection Using Machine Learning
0
0
0
From Repairs to Results: Strategic Data Modeling for Automotive
0
0
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Ezra Adamu
Abuja, Nigeria
n8n & AI Automation | PHP Laravel Developer | API CRM Expert
$1k+
Earned
1x
Hired
5.0
Rating
64
Followers
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n8n & AI Automation | PHP Laravel Developer | API CRM Expert
1
n8n Automated Workflow: Built a production-ready n8n automation workflow that fetches data from a REST API, transforms and processes 100+ items, then splits into two parallel pipelines. The upper branch filters records by user, aggregates data per user, generates a CSV report, and writes it to disk. The lower branch prepares a full JSON export, saves all posts, builds a summary report, and writes it to file. Demonstrates API integration, data transformation, conditional filtering, aggregation, and automated file-based reporting, all orchestrated in n8n with zero manual intervention.
1
89
1
I've set up automations for dozens of businesses. These three pay for themselves faster than anything else. And most companies are still doing them manually. 1. Speed-to-lead response. A potential customer fills out your form. What happens next? In most businesses: nothing. For hours. Sometimes days. The data sits in a form submission folder. Someone checks it 'when they get a chance.' By then, the lead has already talked to a competitor. 2. The invoice-to-cash pipeline. Most businesses send invoices manually. Then they forget to follow up and wonder why cash flow is tight. 3. The Monday morning report nobody has to build. Someone on your team spends Friday afternoon pulling numbers into a slide deck or spreadsheet. Every single week. Three automations. Maybe 2 weeks of setup total. Months of time saved every year.
1
81
6
The project I value most focused on fixing broken workflows at scale. A startup reached out with manual processes, scattered data, and slow operations. The work focused on automation, and a scalable backend. What I learned * Automation starts with understanding business pain. * Simple systems outperform complex ones when designed with intent. Tools used * Laravel and PHP for the backend * Web scraping and automation scripts This project reinforced a clear focus. * Build systems that save time. * Reduce errors. * Scale with real usage. * Avoid shipping features without value. What I want more of in 2026 * Automation first platforms * AI powered internal tools * Data driven systems that replace manual work
2
6
201
5
Lately, I’ve been deep in the world of Laravel and Vue.js. Crafting web apps that are fast, scalable, and built to last. There’s something really satisfying about turning a rough idea into a clean, functional product that just works. I love collaborating with startups and small teams to bring their vision to life. If you’re building something exciting and need a reliable full-stack dev, I’d love to connect!
5
317
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(1)
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