Summary
César Meza is a bilingual actuary-turned-data scientist with 10 years of experience applying analytics, machine learning and automation across banking, insurance and education in Mexico City. He has led end-to-end probabilistic and anomaly detection models, built space- and time-saving data architectures, and delivered measurable business impact such as increasing placement rates and reducing server footprint by 75%. Comfortable coding in Python and SQL and working with Azure and Cloudera, he combines technical rigor with stakeholder-facing delivery—training teams and presenting insights to management. Notably, his work spans fraud and sentiment analysis, churn modeling and operationalization of collection and enrollment pipelines, reflecting a rare blend of actuarial discipline and hands-on data engineering.
10 years of coding experience
4 years of employment as a software developer
Diplomado en Ciencia de Datos, Data Science, Diplomado en Ciencia de Datos, Data Science at Facultad de Estudios Superiores Acatlán
English, Spanish