Position: Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 5

Multiple peer-reviewed publications in international journals and conferences. 

Prokopalo Y. et al. Evaluation of lifelong learning systems //International Conference on Language Resources and Evaluation. – 2020.

Prokopalo Y. et al. Active correction for speaker diarization with human in the loop //Iberspeech. – 2021.

Gromov, V. A., Voronin, I. M., Gatylo, V. R., & Prokopalo, E. T. (2017). Active cluster replacement algorithm as a tool to assess bifurcation early-warning signs for von Karman equations. Artif. Intell. Res., 6(2), 51-56.
Finishing a PhD studies in the Le Mans University, France. PhD work in the domain of the speech processing. A strong experience with chaotic time series forecasting obtained also in academic environment.
Small experience of work on the analyst position and an internship in corporative environment.