Olena Aleksandrova

Experience

• 

  Cult Fashion GmbH, Domini plast

  Jan 2007 - Jan 2012

  Purchasing manager

  Purchasing of goods; Analysis of the residues of goods, prices; Auditing; Reporting; Working with legal and administrative documents.

• 

  EPICENTR group of companies

  Apr 2012 - Apr 2014

  Deputy Head of Department

  Purchasing of goods; Analysis of the residues of goods, prices; Auditing; Reporting; Working with legal and administrative documents.

• 

  СП "Оптима Фарм, ЛТД"​ / JV “Optima-Pharm, LTD”

  Aug 2014 - May 2015

  Purchasing manager

  Purchasing of goods to warehouses; Analysis of the residues of goods, prices; Participation in improvement of internal software; Finding of bugs and mistakes; Beta, acceptance testing; Creation of features request recommendation for improvement; Active communication with developers team.

• 

  PARUS Software Development

  Mar 2016 - May 2017

  QA engineer

  Bug reports, test cases, test plans; Communication with different teams.

• 

  Moneyveo.ua

  Jun 2017 - Mar 2022

  Quality Assurance Engineer

  GUI testing, Web-interface testing, back office testing; Bug reports, test cases, test plans; Testing Web services and REST based APIs; Testing on different devices; Communication with different teams.

• 

  OXTech Group

  Mar 2022 - Mar 2024

  Quality Assurance Engineer
• 

  ReDI School of Digital Integration

  Sept 2024 - Dec 2024

  Student Python course

  • Wrote and understood Python code, focusing on variables, data types, and control structures for practical projects.• Gained experience with Git and GitHub for collaborative coding, branching, committing, and merging.• Developed problem-solving skills by building simple applications.

• 

  ReDI School of Digital Integration

  Mar 2025 - now

  Data Analytics Student

  • Utilized Python with Pandas, NumPy, and Matplotlib to clean, analyze, and visualize data efficiently.• Applied SQL basics to query databases and extract valuable insights for data interpretation.• Developed statistical fundamentals in descriptive and inferential statistics for accurate data analysis.