Abraham Musa is a Senior Data Scientist based in Cardiff with eight years of hands-on experience building machine learning products, credit risk models, and data infrastructure across fintech, insurance, and analytics firms. He has a track record of turning messy transactional and SMS data into production-ready features and models—cutting SMS parsing time by over 40% and shrinking deployment cycles from months to weeks. At companies from Indicina to Admiral and now LexisNexis Risk Solutions he has delivered scalable solutions like a salary-identification module trained on millions of bank-statement records and geocoding pipelines that supported large-scale identity resolution. Abraham also mentors and teaches, contributing technical content and live sessions to grow junior talent, and volunteers to expand access to data careers. Comfortable with the full data lifecycle, he pairs rigorous engineering practices (unit tests, APIs, MLOps) with business-focused analytics to drive measurable impact.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Federal University Lokoja (4.62/5.00)
A personal repository for following through the refresher Machine Learning course organized by DataTalksClub (A community of data professionals and enthusiasts)
Contributions:16 PRs, 10 pushes, 8 branches in 1 month
Contributions:13 PRs, 10 pushes, 16 branches in 20 days
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