Position: Data Scientist, Machine Learning Engineer, Natural Language Processing Engineer
Category: Data Science
English level: fluent
Years of experience: 1.5

During my education, I was a Grace Hopper Scholar 2016 Houston, Texas, and had won the Women Who Code Travel Stipend to Google I/O in Mountain View, California in 2017 and  Google Travel and Conference Grants to attend the ACM Celebration of Women in Computing womENcourage 2018 in Belgrade. Also, I have visited several conferences in Ukraine and around the world.  
I have strong leadership skills: I have been an active leader, co-organizer, and public speaker in several volunteer communities such as «Women Techmakers Ukraine», «Women Who Code Kyiv» «ACM-W» in Ukraine for several years. During this period of time, I have been taking part and was as one of the invited leaders and public speakers from Ukraine in several summits in leadership which were organized by Google and «WomenTechmakers Europe».
My strong communication skills, analytical skills, and attention to detail enable me to identify client requirements and develop solution-based products after evaluating the competition to establish competitive differentiation. I know how to listen to people's opinions and suggestions, easily find a common language I realistically assess the situation. I'm communicative, sociable, outgoing, open-minded, responsible, and hard-working and creative approach to the solution of any problem. I am easily trained and always like to learn something new for myself. I'm single-minded and resolute. I like to organize and unite people.
Currently:
- Creating models for solving unsupervised or semi-supervised topic modeling task in the food/restaurant industry with a low amount labeled of data
- Text data preprocessing, data cleaning, outliers and anomaly detection
- Developing natural language processing techniques for data analysis
- Time Series forecasting with a low amount of data including abnormal data for the COVID period (2020-2021)
- Reading scientific articles, implementing and applying state-of-art algorithms for solving tasks
- Monitoring and researching the latest developments in the data science field to create cutting edge solutions
Participation in negotiations with clients, managers, sales team and - C- and VP-level of the company on high-level project planning and implementation
- Assessment analysis of business tasks
-Creating, implementing and improving data science solutions for business processes 

For three months I have been a Supervisor of researchers and developers in Luxembourg startup «Unicorn Nest». I was leading and managing keep deadlines of two groups of Junior Researchers/Data Operators in creating several datasets for training the different neural networks. I was monitoring the results of their work and the results of NER and fact extraction from articles by an existing neural network. I was creating and regularly updating project/release plans, roadmaps, and vision-related to the project and its products. I was building and scale innovative, high-quality integrations for neural networks and to the Chrome extension for data markup from articles and for neural networks. I was controlling such extensions' implementation by software engineer teams. I was collaborating both with the engineering teams and data operators teams.

I have completed my Bachelor’s Degree in Applied Mathematics in 2018 from Taras Shevchenko National University of Kyiv.  In 2020 I finished with honors a Masters Degree in Informatics at Taras Shevchenko National University of Kyiv.