Stephen Akinyemi is a data analyst with nine years of experience who transforms messy datasets into decision-ready insights using Excel, Power BI, SQL and Python. With an MSc in Statistics from the University of Lagos and a methodical, detail-oriented approach, he builds automated dashboards, writes complex queries and applies machine learning for predictive analysis. At MyFund he integrates data from diverse sources and turns patterns into strategic recommendations that improve operations and planning. Beyond analytics, he has contributed backend tests to the wasmer WebAssembly project, showing a practical interest in software correctness and standards compliance. Based in Lagos, he combines strong statistical training with hands-on engineering discipline to deliver reliable, production-ready analytics.
9 years of coding experience
Master of Science - MS, Statistics, Master of Science - MS, Statistics at University of Lagos
🚀 Fast, secure, lightweight containers based on WebAssembly
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:96 commits, 18 PRs, 68 pushes in 2 months
Contributions summary:Stephen primarily contributed to the wasmer project by adding and modifying WebAssembly spec tests. They added numerous tests related to floating-point literal parsing and fixed issues in existing tests related to canonical and arithmetic NaNs. The user also focused on addressing memory grow issues and updating spectests to the latest versions, indicating a focus on ensuring the correctness and stability of the WebAssembly runtime implementation. The contributions suggest a role in ensuring the project's compliance with WebAssembly standards.
a self-hosted solution for running ai-generated code in a sandbox
Contributions:21 reviews, 220 PRs, 308 pushes in 6 months
agentsaicontainerdockerlinux
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