Most people treat data as something to report. I treat it as something to interrogate — because the interesting stuff is rarely on the surface.
I'm a data analyst and aspiring data scientist working with Python, SQL, Power BI, and Excel — across financial analysis, business intelligence dashboards, and machine learning models.
The work I care about is the kind where the numbers are saying something important and it's not immediately obvious what. Finding that, communicating it clearly, and making it actionable — that's what I'm building toward.
Long term, I want to apply data science to education, business, and finance challenges across Africa. The talent is already there. The tools and insight infrastructure are what's missing.
The projects below are where the talking stops. Take a look around. Pretty sure you'd like what you see enough to reach out.
Experience
Lagos State University
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Editor-in-Chief
Ojo, Lagos State, Nigeria
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Summary
Led a multi-disciplinary team in the end-to-end production and delivery of 100 copies of a 46-page academic magazine, ensuring quality and timely publication.
Highlights
Spearheaded the end-to-end production and delivery of 100 copies of a 46-page academic magazine, leading a multi-disciplinary team.
Negotiated and secured reduced vendor pricing, effectively managing all student-contributed funds and ensuring transparent financial reporting to maintain project budget.
Structured and delegated key leadership roles, including Financial Manager and Deputy Editor, to optimize production efficiency and foster team ownership.
Facilitated communication as the official student liaison, resolving complex issues and providing project progress updates across departments.
Provided hands-on support in design layouts and content proofreading, contributing to the refinement and quality of the academic publication.
Office of Local Government Establishments and Training
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ICT Intern
Ikeja, Lagos State, Nigeria
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Summary
Conducted daily systems maintenance and provided technical support, significantly reducing downtime and streamlining administrative reporting for government officials.
Highlights
Conducted daily proactive systems maintenance (hardware and software), rapidly diagnosing and restoring defective systems to significantly reduce staff downtime.
Provided event-critical technical support, ensuring full functionality of projectors and presentation equipment for crucial events and meetings.
Streamlined administrative and operational reporting for government officials by leveraging Microsoft Office Suite (Word, Excel) for efficient documentation and data management.
Education
Othello Institute of Technology
Ojo, Lagos State.
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Data Analysis, Data Science & AI
Lagos State University
Ojo, Lagos State
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Bachelor of ScienceComputer ScienceGrade: Second Class Honours, Upper Division
Skills & Tools
AI
Prompt Engineering, Tools Integration.
SQL (MySQL & PostgreSQL)
EDA.
Data Analysis & Visualization.
Data Cleaning, Dashboarding, Stakeholder Communication.
EDA, Data Analysis & Visualization, Data Science, Machine Learning.
Certificates
EF SET English Certificate (76/100 - C2 Proficient)
EF SET
SQL Intermediate
Sololearn
Introduction to SQL
Sololearn
Data Analytics
Talentcroft
Python Intermediate
Sololearn
Introduction to Python
Sololearn
Navigating the Data Ecosystem — Choosing the Right Path
MatCity Educational Consult
Jobberman Soft Skills Course
Jobberman
BeTechified Product Management
BeTechified
Projects
Retail Store Sales Dashboard
𝐏𝐲𝐭𝐡𝐨𝐧 · 𝐏𝐚𝐧𝐝𝐚𝐬 · 𝐌𝐚𝐭𝐩𝐥𝐨𝐭𝐥𝐢𝐛 · 𝐒𝐞𝐚𝐛𝐨𝐫𝐧 · 𝐉𝐮𝐩𝐲𝐭𝐞𝐫
Summary
Numbers don't lie — but they do hide. This project was about pulling back the curtain on a retail company's multi-year sales data to find what was actually driving revenue, profit, and growth. Which product categories were carrying the business? Which regions were underperforming quietly? When did sales spike, and why? I built a full visual dashboard in Python that answers all of it — clean charts, clear insights, and the kind of analysis that turns raw spreadsheet data into business decisions.
HP Nigeria Sales Dashboard
𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐄𝐱𝐜𝐞𝐥
Summary
An interactive Excel dashboard analysing H1 2025 sales performance for HP Nigeria across 4 regions, 6 products, and 6 salespersons. Features 5 pivot-driven visuals, 3 cross-filtering slicers, and a monthly trend annotation flagging a 79% sales decline from January to June 2025. Designed to HP brand guidelines using a consistent blue and white colour theme.
Literate Nigeria — EdTech Performance Dashboard
𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 · 𝐃𝐀𝐗 · 𝐏𝐨𝐰𝐞𝐫 𝐐𝐮𝐞𝐫𝐲
Summary
A 3-page interactive Power BI dashboard tracking course enrollments and revenue across 19 courses in 5 categories, built around Literate Nigeria — a Lagos-based non-profit providing digital skills education to young Nigerians.
Features a star schema data model across 3 related tables, 4 custom DAX measures including Month-over-Month Revenue Growth %, and cross-filtering slicers for dynamic analysis by date range and course category.
Dataset is simulated, modelled after Literate Nigeria's actual course offerings.
Analysed a 700-transaction financial dataset covering five business segments, five countries, and six products across a 16-month period. Loaded raw Excel data into a PostgreSQL database using Python and SQLAlchemy, then conducted a structured SQL investigation — moving from broad totals down to segment-discount interactions, product-level unit economics, and month-on-month trends. Findings were visualised in six Matplotlib charts and synthesised into a formal findings and recommendations section.
Key findings included the Enterprise segment operating at a -3.13% profit margin driven entirely by its discount structure, Channel Partners achieving 73.13% margin with strong pricing resilience, Amarilla leading on profit per unit despite low volume, the USA generating the highest revenue but one of the lowest margins, and a consistent profit decline every November across both years.
What can a 100-year-old shipwreck tell us about human behaviour and survival? More than you'd expect. I dug into the Titanic passenger dataset — 891 records covering age, gender, class, and fate — and let the data speak. After cleaning and exploring the data, patterns emerged that were equal parts fascinating and sobering: your gender, your ticket class, even what you paid determined your odds of making it out alive. I then built a Random Forest machine learning model that predicts survival outcomes with 82% accuracy. Equal parts history lesson and data science project.
Volunteer
Facility Management Volunteer
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AI In Nigeria
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Managed high-traffic event logistics and technical setups to ensure seamless operations and presentations for hundreds of attendees and speakers.
Highlights
Coordinated high-traffic event logistics, including precise seating arrangements for hundreds of attendees and managing all on-stage modifications.
Executed critical technical setup for presentations, ensuring seamless projection, optimal sound system functionality, and smooth guest speaker transitions.
