Joachim Nsofini is a Senior Data Scientist based in Canada with a PhD in Physics and 10 years of experience applying advanced modelling and machine learning to financial and scientific problems. He has led end-to-end ML pipelines and migrations from SAS to open-source stacks, building credit risk scoring systems that manage multi-billion dollar portfolios and orchestrating infrastructure with tools like Prefect, DVC, Mlflow and GitHub Actions. His background in experimental and computational physics (PET imaging and quantum/optical simulations) gives him a distinctive edge in principled modelling, compressed-sensing reconstruction, and statistical inference for noisy, high-dimensional data. Comfortable in both research and production environments, he blends cloud-native DevOps (AWS, Docker, CI/CD) with domain-driven product delivery and team mentorship. An unusual strength is translating deep physics research into pragmatic engineering—turning academic signal-processing techniques into robust, deployable ML products.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree Physics and computer science , Bachelor's degree Physics and computer science at University of Buea
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Waterloo
English, French, creoles and pidgins, english-based, lamnso
Implementation of and end to end credit system scoring system. This starts from data ingestion to a deployment and monitoring with a full CICD with best practices of MLOPS.
Contributions:102 PRs, 162 pushes, 13 branches in 1 month
In this repository is a web scaper to collect data from web pages. The first project deals will data from ratemds.com, a site that has ratings of medical practitioners as well as health instutions
Contributions:2 PRs, 42 pushes, 2 branches in 5 years 3 months
practitionerscollecthealthjavascriptscaper
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