Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 1

Data science 
NLP project for topic detection, hot topic detection. Frequency key words analysis using metric methods of machine learning. Two scientific publications in Q1 journals on information science.  

Skills in physics
Teaching courses in quantum mechanics, mathematical analysis, electricity and magnetism, theory of complex variables, molecular physics ets.

Management skills
Project management for the creation of web application (https:\\grants.nrfu.org.ua) for the registration, expert assessment and reporting for applications that are submitted to the National Research Foundation of Ukraine. My main duties - preparation of technical specifications for building business processes for an automated system, negotiations with developers, preparation of accompanying project documentation, customers support, data analysis.
Currently Associate professor at National Taras Shevchenko University of Kyiv, Physics Faculty

Main research interests:
Statistical analysis of scientific knowledge recorded in scientific publications. Developing real proximity measure between physics ontology concepts and documents. Adopting this measure for multi-networks of physical concepts and documents.
 
Recent publications on data science
1. Chumachenko A, et al. Dynamical entropic analysis of scientific concepts. Journal of Information Science. November 2020. 
2.Chumachenko, A. V., et al. (2020). Dynamics of topic formation and quantitative analysis of hot trends in physical science. Scientometrics.
Work in a team that ready to share their experience flexible for research and to accept something new. Work online or offline (70/30) in Kyiv office. Ability to participate in data science conferences, seminars, etc.