Filip Petrovski

CEO and Data Architect at Data Masters

Filip Petrovski's work experience includes:

- Currently serving as an Adjunct Lecturer at NOVA IMS Information Management School since February 2023.

- Previously worked as the CEO and Data Architect at Data Masters since August 2018.

- Worked at Closer Consulting from June 2016 to August 2018, first as a Business Intelligence Manager and later as a Business Intelligence Consultant. In the role of Country Manager, Filip opened a new office and built a team of Business Intelligence Consultants, focusing on improving Information Management and supporting headquarters in ETL and Dashboarding.

- Employed at New Media Enterprise from August 2012 to March 2014, first as a Project Manager and later as a Manager. Filip successfully managed the development of puls24.mk, a news website that became the number one portal in Macedonia based on visitors within three months.

- Worked as a Sales and Communications Officer at CodeWell from March 2012 to October 2012.

Filip Petrovski pursued their education in a diligent and structured manner. From 2009 to 2014, they attended the Faculty of Computer Science and Engineering - Skopje, where they obtained a Bachelor's degree in Information Systems. Showing a continuous commitment to their academic development, Filip went on to enroll at the Universidade Nova de Lisboa from 2014 to 2016. During this time, they completed a Master's degree in Information Management, specializing in Business Intelligence and Knowledge Management. Filip Petrovski's education history is a testament to their dedication and determination to acquire the necessary knowledge and skills in the field of technology and information management.

Location

Lisbon, Portugal

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Data Masters

We are a dedicated and passionate team, specialized in the field of Data Science, extremely motivated to address the challenges of any company and help them become Masters of their Data. Each one of us, with our personal portfolios and experience, is ready to share our knowledge in Data Warehousing, Data Engineering, Machine Learning, and Analytical Product Development.


Employees

11-50

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