Freelancers using Tableau in NigeriaFreelancers using Tableau in Nigeria
ProjectsPeople
USMAN AKINTOBI's avatar
USMAN AKINTOBI
Nigeria
Making Sense of Data to Drive Decisions
5.0
Rating
6
Followers
Making Sense of Data to Drive Decisions
Cover image for Housing Dashboard
Housing Dashboard
1
8
Cover image for Energy Dashboard
Energy Dashboard
1
12
Cover image for DSP Asset Managers
DSP Asset Managers
2
30
Cover image for Context-Aware Fintech User Feedback Classification
Context-Aware Fintech User Feedback Classification & Urgency Detection Most feedback tools stop at sentiment; positive or negative. This project goes further by building a decision-driven NLP system that classifies fintech user feedback by issue type and detects operational urgency, enabling smarter triage and escalation. What was built: Two machine learning models trained on manually collected and annotated app store reviews from real fintech platforms like Revolut, Wise, and Monzo: Issue Classifier: categorizes feedback into 9 classes including transaction issues, account security, KYC, refunds, app performance, and fraud Urgency Detector: binary classifier that flags high-risk feedback requiring immediate attention, optimized for recall to minimize missed critical cases
1
72
Tableau(3)
Ifeoma (Eephomaa) Edu-Aniobi's avatar
Ifeoma (Eephomaa) Edu-Aniobi
Lagos, Nigeria
Executive Assistant | Data Analyst | Brand Strategist
New to Contra
Executive Assistant | Data Analyst | Brand Strategist
Cover image for Netflix has a massive content
Netflix has a massive content library, but how well is it balanced? Are they meeting audience preferences? The client needed a clear, data-backed understanding of their content composition specifically, the ratio of movies to TV shows, genre distribution, regional availability, and content rating trends, to inform strategic decisions about future content acquisition and production. I conducted a comprehensive analysis of Netflix's content library using data sourced from Kaggle. My process and deliverables included: 1. Data Preparation (Excel): Cleaned and structured the raw dataset for analysis, ensuring data quality and consistency. 2. Data Querying (SQL): Wrote queries to extract key metrics—content count by type, genre distribution, rating categories, and country-wise availability. 3. Data Visualization (Tableau): Created interactive dashboards and visualizations to bring the data to life, including: i. Bar Charts: Showed the dominance of Drama, Documentaries, and Stand-up Comedy as top genres. ii. Map Visualization: Highlighted the USA (2,818 titles) and India (972 titles) as the countries with the most content. iii. Pie Chart: Visualized the 69.6% (movies) vs. 30.4% (TV shows) split. - Statistical Analysis (t-test): Performed a t-test confirming a statistically significant difference between movie and TV show uploads (t-value = 56.60, p-value = 0). - Trend Analysis: Identified the 2019 peak in content uploads and the subsequent decline in 2020–2021, correlating with the rise of competing platforms and the COVID-19 economic downturn. Strategic Recommendations: Provided actionable insights for Netflix: i. Increase TV show content to balance audience preferences. 2. Experiment with short-form content to attract broader audiences. 3. Conduct user surveys to align content strategy with viewer demand. 4. Study competitor patterns and emerging trends to stay ahead. A clear, data-driven analysis that provided Netflix with a comprehensive understanding of its content library and actionable recommendations to improve viewer engagement and retention.
1
104
Cover image for Executive Assistant Support (Weekly) Manage emails,
Executive Assistant Support (Weekly) Manage emails, schedule meetings, organise calendars, follow up on tasks, draft communications for busy founders
1
56
Cover image for Data Report & Dashboard Summary Take
Data Report & Dashboard Summary Take their raw business data; sales, social, website and turn it into a clean, readable summary with insights and recommendations
1
73
Cover image for Project: FourX Properties - Company
Project: FourX Properties - Company Profile & Pitch Deck Goal: Create a comprehensive, professional company profile for a Nigerian real estate investment firm to attract investors and clients. My Role (Executive Assistant): • Gathered and synthesized company information, leadership bios, project details, client testimonials, and performance metrics • Structured content into a logical, compelling 20-slide narrative • Designed a polished, visually stunning presentation using PowerPoint/Canva • Ensured brand consistency, accuracy, and executive-ready quality • Delivered a turnkey deck ready for investor pitches and client presentations Key Highlights: • 20-slide professional company profile • Featured projects: Omole Phase 1 (5-bedroom terrace, 450M), Magodo Luxury Terraces • Leadership team bios with credentials (CEO: Land Survey & Estate Survey, CFO: Finance) • Performance metrics: 15-20% appreciation (Victoria Island), 6-8% rental yields • Awards: Top 10 Luxury Real Estate Developers in Lagos, Best Terrace House Design 2023 • 200+ staff strength, 19+ house locations, CAR Insurance coverage Tools: PowerPoint · Canva · Google Workspace · Microsoft 365 · Notion · Zoom · Asana
1
137
Tableau(1)
Odefe Oberabor's avatar
Odefe Oberabor
Nigeria
Data Analyst | Power BI | SQL | Python | Excel
Data Analyst | Power BI | SQL | Python | Excel
Cover image for Data Analysis for E-commerce Expansion Strategy
Data Analysis for E-commerce Expansion Strategy
0
24
Cover image for SQL Development, Power BI Reporting, and Database Management
SQL Development, Power BI Reporting, and Database Management
0
9
Cover image for Advanced Manufacturing Financial Modeling and Efficiency Metrics
Advanced Manufacturing Financial Modeling and Efficiency Metrics
0
5
Placeholder project card media
View more →
Tableau(1)
Victor Adewoyin's avatar
Victor Adewoyin
Nigeria
Transforming Data into Actionable Insights 🚀
Transforming Data into Actionable Insights 🚀
Cover image for The Best College Towns for Remote Workers
The Best College Towns for Remote Workers
0
17
Cover image for Analysis of California Traffic Collisions
Analysis of California Traffic Collisions
0
15
Cover image for Web Scraping Used Car Listings
Web Scraping Used Car Listings
0
6
Placeholder project card media
View more →
Tableau(1)
Lile Ati's avatar
Lile Ati
Abuja, Nigeria
Efficient in data analysis and visualizations + more..
Efficient in data analysis and visualizations + more..
Cover image for MTN Customer Churn 2025 Analysis Report
MTN Customer Churn 2025 Analysis Report
0
8
Cover image for Olympic Medal Count Visualization for Paris 2024
Olympic Medal Count Visualization for Paris 2024
0
3
Cover image for Farmers' Market Sales Data Analysis and Visualization
Farmers' Market Sales Data Analysis and Visualization
0
7
Placeholder project card media
View more →
Tableau(1)
Ifenna Daniel's avatar
Ifenna Daniel
Nasarawa, Nigeria
Data Analyst | Business Intelligence Analyst
Data Analyst | Business Intelligence Analyst
Cover image for Bank Customer Churn Analysis
Bank Customer Churn Analysis
0
3
Cover image for Loan Approval Prediction System
Loan Approval Prediction System
0
8
Cover image for Retail Sales Analysis Project
Retail Sales Analysis Project
0
11
Placeholder project card media
View more →
Tableau(1)