Gergo Barta
ML EngineerLead Specialist in Power Forecasting at Vestas
Vestas
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead Specialist in Power Forecasting at Vestas
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Power forecasting specialist and data enthusiast. Embraces challenges and continuously seeks opportunities to learn and enhance skills.
Universitat Politècnica de València (UPV)
Exchange Student, Computer Science
January 1, 2009 – January 1, 2009
Budapest University of Technology and Economics
B.Sc. + M.Sc., Computer Sciences
January 1, 2004 – January 1, 2011
Vestas
Lead Specialist in Power Forecasting
June 1, 2024 – Present
Remote
Vestas
Principal Data Scientist in Power Forecasting (Utopus Insights)
March 1, 2023 – June 1, 2024
Remote
Vestas
Sr. Data Scientist in Power Forecasting (Utopus Insights )
October 1, 2018 – March 1, 2023
Remote
LogMeIn
Senior Machine Learning Engineer
May 1, 2017 – July 1, 2018
Budapest
Technical University of Denmark
Visiting Researcher
May 1, 2016 – July 1, 2016
Kongens Lyngby
Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw
Visiting Researcher
October 1, 2015 – January 1, 2016
Warsaw, Mazowieckie, Poland
BI Consulting Hungary
Course Lecturer
June 1, 2013 – May 1, 2016
Budapest
Budapest University of Technology and Economics
PhD Student in Data Science
February 1, 2013 – May 1, 2017
Freelance, self-employed
Competitive Data Scientist
January 1, 2013 – Present
Budapest University of Technology and Economics
Research Assistant
April 1, 2012 – February 1, 2013
Dmlab
Data Scientist
April 1, 2012 – May 1, 2017
Budapest
IQSYS
BI Developer
April 1, 2011 – March 1, 2012
IQSYS
Data Mining Analyst Trainee
July 1, 2009 – April 1, 2011
Duolingo English Fluency: Proficient (Estimated)
Duolingo
June 24, 2026 – Present
Finalist certificate of Shell.ai Hackathon for Sustainable and Affordable Energy 2021
Shell
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across industry (Vestas, LogMeIn, Dmlab) and academia (Technical University of Denmark, University of Warsaw, Budapest University of Technology and Economics) demonstrates adaptability and a broad intellectual curiosity. Their involvement in competitive data science and lecturing indicates a passion for the field and a willingness to share knowledge, which aligns well with a collaborative and learning-oriented culture. The focus on energy markets also suggests an interest in impactful applications of ML.
Soft Skills & Operational Fit
The candidate's experience in leading teams, mentoring junior members, and delivering client-facing solutions suggests strong communication and collaboration skills. Their extensive participation in competitive data science indicates a proactive, problem-solving mindset and a drive for continuous improvement. The long tenure at Vestas (Utopus Insights) also points to loyalty and the ability to contribute to long-term projects.