Position: Data QA Analyst / Junior Data Scientist / Product Analyst
Category: Data Analyst
English level: upper
Years of experience: 5

1) In December, 2017, according to the results of competition, Hackaton BigDataLab.com.ua, 
together with my team (4 participants) were selected for the finals and got into the accelerated program "Vodafone Big Data Lab" with mentoring support. 
Idea: Predictive recommendation systems (transport)
Role: Data Analyst / Researcher.

2) September 2018 - Successfully completed cource “Data Analytics and AI: Business edition” (onsite Kyiv).
Mentor: Oleksandr Romanko - Senior Research Analyst, Watson Financial Services, IBM Canada & Adjunct Professor, University of Toronto.

3) PET project in data analytics / data quality testing ( Tensorflow machine learning).
• Experience with data visualization; data manipulation/data processing, basic Big Data concepts.

• Ability to performing data analysis with Python scripts; collect,  extract, clean, transform, load data and to build basic visualizations of results.

• Previous IT experience 5+ years in the roles: PM / BA, SysAdmin and QA (LAMP, front-end, eCommerce process automation).

• Programming skills: basic Python, R.
• Deep Learning frameworks: TensorFlow, Keras (basic).
• Strong understanding: SDLC; QA; UI/UX, usability.
• Methodologies: Agile, Scrum, Waterfall. 

Education: Bachelor of Computer Science and Medical Associate Degree (Health Care).

Personal qualities: 

• Proactive leader, self and result driven, independent, tactful, focused, team player, systems thinking.
• Skills and experience to see the problem in business focus and the ability to research and find a balanced technical solution.
• Mentorship
• Well-established modern development process.
• Opportunity to participate and solve challenging tasks (short-term, long-term) related to Data Science, AI, ML, DL.