Statistics graduate turning messy data into clear decisions. I build dashboards, data models, and analysis — from SQL and Python to dimensional modelling and BI.
I'm a data analyst with a foundation in statistics, and a habit of asking "so what does this actually mean?" of every dataset I touch.
Across the HNG14 internship I worked through the full analytics stack — cleaning and modelling data in PostgreSQL, designing star-schema data warehouses, and building dashboards in Power BI and Looker Studio. I led one project team to a 4th-place finish out of 26, and analysed datasets ranging from a national budget to 15.78 million tweets.
I'm currently doing my NYSC in Lagos and looking for a place of primary assignment at a tech-driven company where I can keep growing toward data science. I learn deliberately, document my work carefully, and care about getting the details right.
Network analysis of Bitcoin transactions to surface illicit activity. Built a transaction graph, engineered a composite risk score, and delivered an interactive dashboard plus a compliance report.
Led a team analysing Nigeria's 2026 federal budget, centred on one striking finding: debt servicing dwarfs the country's combined investment in its people.
A 4-page Looker Studio sales dashboard on the Northwind dataset, plus a star-schema warehouse design for a bank with full slowly-changing-dimension handling.
Analysed a 15.78M-row tweet dataset on climate discourse in PostgreSQL and Power BI — cleaned it, modelled analytical views, and built a 13-visual, 3-page dashboard.
SQL-driven analysis of an e-commerce store — revenue drivers, growth, and customer-value tiers — delivered as documented, reusable queries and an analyst memo.
Serving in Lagos and looking to join a tech-driven team as my place of primary assignment.
Worked through all nine stages — SQL analysis, BI dashboards, big-data cleaning, dimensional modelling, and graph analytics. Led a project team to 4th place out of 26 in Stage 5.
Federal tech-talent programme building practical data skills.
Run a small fashion business and built a Python tool to automate orders and customer reminders — where my interest in data started turning practical.
The statistical foundation behind how I approach every dataset.
I'm open to PPA placements and entry-level data roles in Lagos and remote. I'd love to hear from you.