Nicolai Pedersen
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Head of Football Data Analytics at Brøndby IF | Ph.D. in Deep Learning
I'm a data-driven professional with a passion for the beautiful game! As the Head of Football Data Analytics at Brøndby IF, I blend my data obsession with a love for football every day. Beyond my data-driven side, I'm the cheerful and sociable teammate you'll always find with a smile on their face. I'm excited to connect with fellow data enthusiasts, sports aficionados, and anyone curious about the exciting world where football and data analytics meet.
DTU Health Tech
Doctor of Philosophy - PhD, Audiovisual Speech Analysis with Deep Learning
June 1, 2018 – February 1, 2022
DTU - Technical University of Denmark
Master of Science (MSc), Biomedical Engineering
January 1, 2015 – January 1, 2017
Københavns Universitet - University of Copenhagen
Master of Science (MSc), Biomedical Engineering
January 1, 2015 – January 1, 2017
Københavns Universitet
Bachelor of Science (BSc), Biomedical Engineering
January 1, 2012 – January 1, 2015
Danmarks Tekniske Universitet
Bachelor of Science (BSc), Biomedical Engineering
January 1, 2012 – January 1, 2015
Rødovre Gymnasium
Gymnasieeksamen, Biologi, Idræt og Matematik
January 1, 2008 – January 1, 2011
Brøndby IF
Head of Football Data Analytics
July 1, 2023 – Present
Brøndby IF
Football Data Scientist
April 1, 2022 – July 1, 2023
DTU Hearing Systems
Ph.D. - Audiovisual Speech Analysis with Deep Learning
June 1, 2018 – February 1, 2022
Copenhagen Area, Capital Region, Denmark
DTU Compute
Research Assistant - Cognitive Systems, Machine Learning and Deep Learning
October 1, 2017 – June 1, 2018
Copenhagen Area, Capital Region, Denmark
Technical University of Denmark, Dept. of applied mathematics and computer science
Student Programmer
June 1, 2016 – March 1, 2017
Apoteka Analytics Aps (Apopro.dk)
Student Assistant
September 1, 2015 – May 1, 2017
Danske Spil A/S
Customer Service and Sales Assistant
September 1, 2013 – June 1, 2016
Søndervangskolen
Substitute Teacher
August 1, 2011 – September 1, 2012
Glostrup
SFO Søndervangskolen
Substitute Teacher
August 1, 2011 – August 1, 2012
UEFA C1
Dansk Boldspil-Union (DBU)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research, startup experience, and sports analytics. This breadth suggests adaptability and a willingness to apply technical skills across different domains. The transition from biomedical engineering research to sports data analytics indicates a flexible and curious mindset. However, the lack of traditional software engineering or product-focused ML roles might require adjustment to a more structured corporate ML engineering environment. The focus on research and data analysis might mean less experience with MLOps, deployment, and scalable system design, which are often critical for cultural fit in an ML Engineer role.
Soft Skills & Operational Fit
The candidate's experience as a 'Head of Football Data Analytics' suggests leadership, strategic thinking, and communication skills. Participation in presenting research at ICASSP 2017 indicates presentation and collaboration abilities. The 'Student Assistant' role at Apoteka Analytics shows initiative, business acumen, and problem-solving in a startup environment. However, without specific assessment data, these are inferred.