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Senior Machine Learning Engineer at Spotify
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Formally trained data scientist, with innate curiosity. Passion for data analysis & ML systems, coupled with an interest in distributed computing.
KTH Royal Institute of Technology
Masters of Data Science, Computer Science
January 1, 2016 – January 1, 2017
Universidad Politécnica de Madrid
Masters of Data Science, Computer Science
January 1, 2015 – January 1, 2016
Universiti Teknologi PETRONAS
Information & Communication Technologies, Software Engineering
January 1, 2009 – January 1, 2014
Department of Computer and Systems Sciences (DSV) at Stockholm University
PHD Candidate
September 1, 2020 – Present
Spotify
Senior Machine Learning Engineer
March 1, 2020 – Present
Spotify
Machine Learning Engineer
August 1, 2017 – March 1, 2020
Spotify
Master Thesis Student
January 1, 2017 – July 1, 2017
Indra
Intern, Systems Engineering
May 1, 2016 – May 1, 2016
Madrid Area, Spain
Center for Biomedical Technology, Universidad Politecnica de Madrid
Intern, Information Retrieval System Development
December 1, 2015 – July 1, 2016
Madrid Area, Spain
Verve Technologies Sdn Bhd
Research Engineer
July 1, 2014 – August 1, 2015
Kuala Lumpur, Malaysia
High Performance Computing Centre, PETRONAS University of Technology
Software Developer/System Administrator
October 1, 2013 – April 1, 2014
Malaysia
Offshore Engineering Center, PETRONAS University of Technology
Software Engineer
November 1, 2011 – December 1, 2013
Perak, Malaysia
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Machine Learning Engineering and research, which is adjacent but not directly aligned with a pure Data Analyst role. While they possess strong analytical and data-related skills, the depth of their experience is in building and deploying ML models rather than traditional data analysis, reporting, and business intelligence. The diversity of projects is good, but the direct relevance to a Data Analyst role is moderate. Their academic pursuits (PhD) also suggest a strong research orientation.
Soft Skills & Operational Fit
The candidate's resume indicates experience in leading a team of 4 engineers, suggesting leadership and collaboration skills. Their work on various projects, including research and development, implies problem-solving and analytical abilities. However, without specific soft skill assessments or project details, a comprehensive evaluation of operational fit is limited.