About
Stefana is a PhD Candidate and Research Assistant in the Department of Mathematics-Forecasts-Statistics in the Faculty of Economics and Business Administration, BBU Cluj-Napoca, Romania, with her thesis on Space-Time Predictive Econometrics.
She is a collaborating member of the Interdisciplinary Data Science Center, in BBU and part of the project ”A better understanding of socio-economic systems using quantitative methods from Physics”.
Key Achievements and Outputs
Published multiple articles on Spatial Statistics and Econometrics, NLP, (web)GIS
Data Science Consultant in a private company, working for projects from multiple industries: banking, retail, finance, telecom, gaming, health, tourism, and mortgage market. Currently part of the local Data Leadership team, working as the location lead for the AI community and as a Career Coach. Held various trainings, student summer schools, internships. Participated in and organized different events partnering with Google, Kaggle, and Snowflake.
WG1 nd WG2 member for Romania in the COST action CA19310 FinAI – Fintech and Artificial Intelligence in Finance – Towards a Transparent Financial Industry, 2020-2024
Member of the Spatial Econometrics Association
Member of the Interdisciplinary Center for Data Science, Babes-Bolyai University
Research assistant within the project ”A better understanding of socio-economic systems using quantitative methods from Physics”, CF no. 760034/ 23.05.2023, code 255/29.11.2022
Research Interests
Data Science, AI/ML, Geospatial Technologies, Spatial Econometrics, Spatial Statistics, NLP (LLMs included), Diversity