Nina Hristozova
About Nina Hristozova
Nina Hristozova is a Data Scientist at Thomson Reuters, where she has worked since 2020, following a year as a Junior Data Scientist. She has a background in software engineering and has contributed to the Natural Language Processing community as a co-organizer at NLP Zurich.
Work at Thomson Reuters
Nina Hristozova has been employed at Thomson Reuters since 2020 as a Data Scientist, contributing to projects focused on Artificial Intelligence and Natural Language Processing. Prior to this role, she served as a Junior Data Scientist from 2019 to 2020 and as a Data Science Intern from 2018 to 2019. Her work emphasizes a customer-first approach, driving innovation within Thomson Reuters Labs. She has been involved in applying Machine Learning and Deep Learning techniques to address challenges in Natural Language Processing.
Education and Expertise
Nina Hristozova holds a Bachelor's Degree in Computer Science from the University of Glasgow, which she completed from 2014 to 2018. She also studied Mathematics and Informatics at a Mathematics High School from 2008 to 2014, achieving Advanced Highers. Her educational background provides a strong foundation in technical skills relevant to her work in data science and natural language processing.
Background in Software Engineering
Before her tenure at Thomson Reuters, Nina Hristozova gained experience as a Software Engineering Intern at holo|one from 2017 to 2018. She also worked as a Lab Demonstrator in Python at the University of Glasgow from 2016 to 2018 and served as an Enterprise Intern at the University of Glasgow Careers Service from 2015 to 2016. This diverse background in software engineering and educational support has contributed to her development as a data scientist.
Contributions to NLP Zurich
Nina Hristozova has been a Co-organizer at NLP Zurich since 2020. In this role, she helps organize events and initiatives that foster a community around Natural Language Processing. Her involvement in this organization highlights her commitment to advancing knowledge and collaboration within the field of NLP.
Presentations and Public Speaking
Nina Hristozova presented on the topic of Text Explainability and Summarization of Legal Documents at the Grace Hopper Celebration EMEA 2021. This presentation reflects her expertise in applying data science techniques to real-world problems, particularly in the legal domain.