I turn messy, real-world data into clean, honest insights. Building at the intersection of traditional data analysis and Web3 on-chain analytics.
About Me
I'm a data analyst with a strong curiosity for how systems behave beneath the surface — numbers, people, markets, and protocols.
My background is rooted in traditional data analysis, where I've built a solid foundation in working with data, asking the right questions, and turning information into insight. I'm currently transitioning into on-chain analytics, exploring how blockchain data reveals real economic behavior in real time.
Beyond analysis, I'm a storyteller at heart. I enjoy breaking down complex ideas into clear, relatable insights — through writing, short-form content, and building in public on X and Medium.
Particularly interested in roles at the intersection of data, Web3, and research — with a growing focus on the Rootstock (RSK) ecosystem.
Work
Three-level exploratory analysis of 9,551 restaurants across multiple countries. Uncovered cuisine dominance patterns, rating distributions, delivery behavior, and restaurant chain dynamics.
View on KaggleReal-world cleaning challenge: fixed negative phone numbers, flagged missing values, resolved ### display errors, and standardized formatting across 1,000+ records.
View on KaggleCleaned and structured survey data before building an exploratory Power BI dashboard revealing trends in academic pressure, lifestyle habits, and student well-being.
View ProjectExperience
End-to-end data entry, validation, and quality checks across operational datasets. Clean and restructure data in Excel daily — resolving formatting errors, missing records, and inconsistent entries. Prepare daily and monthly reports used by management for decision-making.
Cleaned and structured real-world datasets using Excel and Python. Conducted exploratory data analysis and supported data preparation workflows. Built familiarity with the end-to-end analytics pipeline from messy data to visual insight.
Built and maintained Excel-based financial tracking systems for conference and meeting records. Calculated remittance percentages, tracked expense balances, and analyzed attendance trends — identifying a 20% growth pattern over 6 months.
What's Next
Building a public Rootstock (RSK) dashboard on Dune Analytics. Tracking transactions, active wallets, and DeFi activity on Bitcoin's smart contract layer.
Actively learning SQL through structured courses — targeting Dune Analytics querying as the bridge between traditional data work and Web3 analytics.
Sharing every project, insight, and lesson on X and Medium. Turning the learning process itself into a portfolio of consistency and analytical thinking.
Contact
Open to data analyst roles and Web3 collaborations.
Based in Lagos, Nigeria. Available for remote roles globally. Fast response, serious about the work.