Summary
Carlos Contreras is a Principal Data Scientist with 10 years blending academic rigor in applied mathematics and hands-on ML/AI product delivery, currently leading model development and AI platform work at ATB Financial. Trained as a PhD candidate in Mathematical Biology, he brings deep mathematical modelling, PDE and bifurcation analysis expertise to practical problems like recommendation systems, churn prediction, risk modeling (IFRS 9) and generative AI. He is fluent in Python, Julia, R and Unix, and has built cloud-native ML pipelines on GCP/Vertex AI and Kubeflow that span POC to production with cost-benefit and user-satisfaction focus. A seasoned educator and communicator, he has designed courses and Jupyter-based teaching materials to demystify scientific computing and ML for students and stakeholders. Notably, his background in cellular-network modelling and protein鈥搇igand docking gives him a rare cross-disciplinary perspective that informs robust, interpretable model design.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at University of Alberta
Master's Degree, Mathematics, Master's Degree, Mathematics at Universidad Sim贸n Bol铆var
English, Spanish, French