Data Scientist / Machine Learning Engineer

В корзину
1 Год опыта работы Кандидат ID:15962 Киев Дата добавления 21 окт. 2020 г.
  • 1 Год
  • Работа в офисе на полный день, Удаленная работа, Готов к переезду


I have completed my Bachelor’s Degree in Applied Mathematics in 2018 from Taras Shevchenko National University of Kyiv. During holding my Bachelor's degree for four years I was a representative of my student group at the university and also head of my group. In 2020 I finished with honours a Masters Degree in Informatics at Taras Shevchenko National University of Kyiv.

The purpose of my Master thesis was to analysed two versions of SQuAD dataset (v1.1 and v2.0) and had chosen the last one which exists unanswered questions or questions with no answer to create QA system which takes into account the context of the sentence. I implemented two models which include attention mechanism, namely BiDAF model (from the scratch) and BERT-small (using Hugging Face library). I trained it on CPU and used EM (exact match) and F1-metrics to compare and analyse results.

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.

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 (making log with errors). I was creating and regularly updating of F.A.Q. (manuals), project/release plans, roadmaps, and vision-related to the project and its products. I was leading and controlling software engineer teams' work. I was developing the product amendments to improve. 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 writing technical specifications and technical tasks both for Junior Researchers / Data Operators and for developers which whom I was working. I was testing solutions and ensuring that everything works. I was collaborating both with the engineering teams and data operators teams.

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».

I have strong communication skills, analytical skills, and attention to detail enable me to 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.

Thank you for your time and consideration of my application.

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