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Goshteliani Nana
Manual QA Engineer
Goshteliani Nana is a Manual QA Engineer at Advanced Solutions Center, Inc., based in Cherkasy, Ukraine.14 She has extensive experience in quality assurance and has been working in the IT industry for several years.
Professional Background
Nana's expertise extends beyond quality assurance. She has a diverse professional background that includes:
- Manual QA Engineering
- IT Recruiting
- Human Resources
- Sales
- Psychology
Education and Skills
Goshteliani Nana received her education from Cherkasy State University 'Bohdan Hmelnycky'.1 Her educational background, combined with her professional experience, has equipped her with a unique skill set that spans across multiple disciplines.
Current Role
At Advanced Solutions Center, Inc., Nana works as a Manual QA Engineer.13 In this role, she likely focuses on testing software applications, identifying bugs, and ensuring the overall quality of the products developed by the company.
Network
Nana has built a substantial professional network, with over 500 connections on LinkedIn.1 This extensive network suggests that she is well-connected within her industry and actively engages with other professionals in her field.
Additional Interests
Interestingly, Nana has also shown interest in marketing. She has posted on LinkedIn about her experience as a Marketing Mentor, claiming to have helped business owners build marketing processes in various niches such as e-commerce, travel, and beauty for more than 10 years.2 This indicates that she may have additional expertise beyond her current role in quality assurance.
Highlights
Привет!
Ищу в компанию Mobalytics Senior Go/Python BackEnd Developer, который любит играть в игры и испытывает непреодолимое желание сделать мир для геймеров лучше :)
Mobalytics - быстрорастущий eSports стартап, основанный группой геймеров. Ребята создают для геймеров новый, более надежный способ анализировать и улучшать их производительность. Они создали Gamer Performance Index (GPI). GPI включает использование внутриигровых данных, доступных из игровых API, и пропускает их через алгоритмы машинного обучения для анализа и улучшения производительности игроков в нескольких областях, значимых для конкурентных игр.
Технологический стек: Golang, Python, Django, Cassandra, Rabbitmq, ReactJS, Redis
На этой позиции вас ждет: архитектура, дизайн и разработка надежной программной системы с распределенной архитектурой и большой нагрузкой на платформе K8S. Речь идет об удаленной занятости.
Больше - здесь: https://goo.gl/CcXPUr.
