
Product Manager with 6+ years in product management & AI solutions
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Result-oriented and experienced Product/Project Manager with a keen eye for detail, looking to apply my strong analytical and people skills in a dynamic, results-driven environment. Comfortable in working with data and managing stakeholders. A fast and eager learner, comfortable with ambiguity in challenging environments.
University of Aberdeen
MSc · International Business Management
August 1, 2017 – June 30, 2018
Edinburgh Napier University
BSc · Biomedical Sciences
August 1, 2011 – June 30, 2015
nrg (Motor Oil Group)
Project Manager
November 1, 2023 – Present
Athens, Attica Region, Greece
Vodafone Greece
IoT Product Manager
January 1, 2021 – November 1, 2023
Athens, Attica Region, Greece
Vodafone Greece
Graduate Trainee
March 1, 2020 – December 1, 2020
Athens, Attica Region, Greece
Duchamp London
Concession Manager
October 1, 2016 – July 1, 2017
Edinburgh, Scotland, United Kingdom
Agile Product Owner Role: Foundations
Project Management Institute
February 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project experience, including AI, IoT, and energy disaggregation, suggests adaptability and a broad interest in different technological domains. Their involvement in public sector tenders and international group communication (Vodafone Group) indicates an ability to work across varied organizational structures and cultures. The 'Agile Product Owner' certification further supports a fit for modern, agile-driven product organizations. Volunteering activities also suggest a well-rounded individual.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, analytical, and communication skills through their experience in managing teams, conducting market analysis, and coordinating with various stakeholders. Their comfort with ambiguity and continuous learning mindset suggest a good operational fit for dynamic product development environments. Experience in re-engineering workflows indicates a focus on operational efficiency.