Електронен каталог

Пенко Иванов

Пенко Иванов
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Penko Ivanov is a professional in the field of IT who successfully managed large scale projects in leading companies and organisations. He has a long-standing experience in IT services, digital product management and marketing, solution sales, solution design, software development, business analysis, and project management. Penko holds Project Management Professional (PMP), Certified Business Analysis Professional (CBAP), and PMI Professional in Business Analysis (PMI-PBA) certifications.

Penko is accomplished both in industry and in academia. He holds a bachelor’s degree in Economics, a master’s degree in IT project management, and is close to receiving a PhD in computer science from the New Bulgarian University. He also has extensive teaching experience both in Bulgaria and in the United States, including lectures at the University of Sheffield and the Boston University. Penko is teaching graduate courses in IT Business Analysis, Business Analytics, and Data Mining for Business Analytics.

Currently, Penko is working for the Financial Times (FT) as a business analyst in the department, which builds and runs the core technology platforms powering the FT. Before FT, he worked for GfK doing business analysis, requirements engineering, and functional architecture design within a big data project for the development of the next generation of GfK’s core data landing, harmonisation, enrichment, and production software system.

Before GfK, Penko worked for Konica Minolta developing their MDS/MPS portfolio in Bulgaria.

Penko’s previous employments include management of complex IT projects for corporate and government customers in Bulgaria and the Balkans.

Among Penko’s research interests are data and analytics, big data, and artificial intelligence.


Публикации:


"Practical Model Deployment for Hands-on Experience in Applied Business Analytics Courses" published in the "Proceedings of the 15th International Conference on Computer Science and Education in Computer Science", Fulda, DE, 2019, ISSN – 2603-4794

"Teaching Data Mining Techniques to Applied Business Analytics Students with the Help of Interactive Hands-On Tutorials" published in the "Proceedings of the 14th International Conference on Computer Science and Education in Computer Science", Boston, MA, USA, 2018, ISSN – 2603-4794

"Striking the Balance: Teaching Data Mining with The Right Mixture of Depth and Breadth" published in the "Proceedings of the 14th International Conference on Computer Science and Education in Computer Science", Boston, MA, USA, 2018, ISSN – 2603-4794

"Data Analytics for DevOps Effectiveness" published in the "Proceedings of the 14th International Conference on Computer Science and Education in Computer Science", Boston, MA, USA, 2018, ISSN – 2603-4794

"Applied Business Analytical Approach to IT Projects - Methodological Framework" published in the "Proceedings of the 13th International Conference on Computer Science and Education in Computer Science", Albena, BG, 2017, ISSN – 1313-8624

"Effective DevOps as a key to efficient large scale Agile software development - industry case study" published in the "Proceedings of the 13th International Conference on Computer Science and Education in Computer Science", Albena, BG, 2017, ISSN – 1313-8624

"The role of the IT business analyst in a Big Data project – a data-driven approach to business analysis" published in the "Proceedings of the 12th International Conference on Computer Science and Education in Computer Science", Fulda & Nuremberg, DE, 2016, ISSN – 1313-8624

"Preparing Big Data business analysts for the IT project management profession“ published in the "Proceedings of the 12th International Conference on Computer Science and Education in Computer Science", Fulda & Nuremberg, DE, 2016, ISSN – 1313-8624

"Business analysis for IT practitioners – an educational approach" published in the "Proceedings of the 11th International Conference on Computer Science and Education in Computer Science", Boston, MA, USA, 2015, ISSN – 1313-8624

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