Anna Aksenova

Anna Aksenova has a diverse range of work experience in the field of linguistics and natural language processing. Anna is currently working as an NLP Researcher at Ontotext. Prior to that, they were a Tutor at the Higher School of Economics, where they taught an introductory Python course for linguists and supervised research projects in semantic probing and aspect-based sentiment analysis.

Anna has also worked at Sberbank as a Machine Learning Engineer and Data Analyst, and at Neontology as a Lecturer. Anna gained experience as a Teaching Assistant at both the Higher School of Economics and Coursera. In addition, they interned at DeepPavlov.ai, where they conducted research on automatic dialogue quality evaluation and dialogue management.

Before entering the field of NLP, Anna worked as a Head Teacher at the Online School "Импульс" and as a Linguistics Teacher at Sirius.Kursy. Anna also gained experience as a Program Intern at SberDevices.

Overall, Anna's work experience highlights their expertise in NLP research, teaching, and data analysis, making their a well-rounded professional in the field.

Anna Aksenova completed their Bachelor's degree in Fundamental and Computational Linguistics from the Higher School of Economics, where they studied from 2018 to 2022. In 2021, they also had the opportunity to participate in exchange studies at UiT- The Arctic University of Norway, focusing on Linguistics.