Summary
Jovana Jovanovic is a data scientist with eight years of experience applying mathematical rigor to credit risk, portfolio analytics, and production data science at firms including TeleSign and Addiko Bank. Trained in applied mathematics and scientific computing (University of Belgrade; Heidelberg University), she bridges theoretical modeling and practical deployment, turning complex statistical methods into business-facing insights. Her background includes hands-on credit risk modeling, business modeling, and large-scale data labeling work at Microsoft, giving her both domain depth in finance and operational experience with labeled data pipelines. Based in Belgrade, she combines a strong academic math foundation with software engineering sensibilities—reflected in a GitHub identity as a software engineer—making her adept at end-to-end analytical solutions that are robust and production-ready.
8 years of coding experience
1 year of employment as a software developer
Mathematics, Physics and Computer Science, Mathematics, Physics and Computer Science at Mathematical Grammar School
Master's degree, Scientific Computing, Master's degree, Scientific Computing at Heidelberg University
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at University of Belgrade
English, German, Serbian