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

Device for reading for blind people

Hardware engineer & developer of a device (Sept. 2017 - Present)
- Uniqueness: Low-cost and efficient mechanism.
- Designed a mechanism , did market & patent research, developed
with C-lang, PSoC4, Arduino, pitched: ( pitch desk ).
- Project awards: UA President’s Scholarship, USA , Ukraine , Serbia , Turkey , Milset EXPO Sciences -
(Latin America, Europe, Asia), Studway Awards, Singapore. (2017 - 2019)

Automation service for Ukrainian admission office (Microsoft Bootcamp)
Full Stack Engineer (Feb. - June 2019)
- Uniqueness: The processing of certificates is 3 times faster, less people involved. ( pitch desk )
- Minimised cost function of image classification to accuracy of 97%, wrote web-page service with
Flask, HTML, CSS, did market research ( demo ).

Service to control and save your money budget
Software engineer (March - June 2019)
- Uniqueness: Application gives advice, how to save & where to invest money. ( demo )
- Did analysis of spending money, created algorithm of calculating an outcome.
- Written in Python: collecting data, analysis of spending money, analysis and prediction of stocks.

Open Data Hackathon
Hackathon organizer (Feb. 2019)
- Organized a hackathon to solve youth problems in Ukraine.
- Arranged a venue and the event, communicated with 5 sponsors and 7 media partners, did PR.
Google STEP Engineering Intern - Automation library
Site Reliability Engineer (LONDON June 2019 - Oct. 2019)
- Co-designed, developed, tested and launched a Golang library that was
used in a large Google production system.
- Used as an inside tool, saving RAM & CPU.
- Gained significant experience of working in a large software engineering
organisation: project management & scheduling, coding standards & code review, testing practices.

Spheros Electron Intern - Welding machine
Software & Hardware Engineer (June - Aug. 2019)
- Designed a mechanism to be used in production, created an Arduino
model of welding machine, B2C cooperation ( demo ).
Я хочу займатись аналізом великих даних, пошуком кореляцій між метриками та дослідженням гіпотез. Чудово було б, якби дані були пов'язані із фінансами, тобто аналіз ринків чи стоків. Також я планую прогресувати у діяльності data scientist, і на разі проходжу курси у університеті по Штучному Інтелекту, Машинному Навчанню, Пронозуванню та Дослідженню Операцій. На даний момент, я вже закінчила курс Machne Learning на Coursera від Stenford Univesity, а також Data Science Summer School APPS UCU.