Summary
Aishameriane Schmidt is a statistical analyst and PhD candidate in Econometrics with a decade of experience translating complex datasets into actionable forecasts across academia, central banking, and industry. She blends rigorous econometric and machine learning methods to build credit-risk and churn models, run A/B tests, and deliver executive dashboards—work now informing institutional investor statistics at De Nederlandsche Bank. Aisha has a strong teaching and outreach record (30+ presentations, extensive supervision and courses) and has supported over 1,000 students through tutoring and programming training. Her background spans top Dutch research programs and Brazilian public-sector analytics, giving her a rare mix of macroeconometric research and hands-on product-facing modeling. Colleagues know her for combining meticulous statistical craftsmanship with practical agility and a penchant for surprising human-centered touches in team culture.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree in Economics Economics, Bachelor's degree in Economics Economics at Universidade do Estado de Santa Catarina
Master of Philosophy - MPhil Economics, Master of Philosophy - MPhil Economics at Vrije Universiteit Amsterdam (VU Amsterdam)
Master of Philosophy - MPhil Economics | Econometrics Track, Master of Philosophy - MPhil Economics | Econometrics Track at Tinbergen Institute
Doctor of Philosophy - PhD Econometrics, Doctor of Philosophy - PhD Econometrics at Erasmus School of Economics
Bsc Statistics, Bsc Statistics at Universidade Federal do Rio Grande do Sul
Master's degree Economics, Master's degree Economics at Universidade Federal de Santa Catarina
High School Eletronics track, High School Eletronics track at Fundação Escola Técnica Liberato Salzano Vieira da Cunha
English, portuguese (brasil), Dutch, Spanish