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Data Science Lead
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist with background in Economics, Business and Urban Sciences. Experience in applied Machine Learning across various domains and inustries, from telecommunications to autonomous driving systems to business operations.
KTH Royal Institute of Technology
Master in Machine Learning, Computer Science
January 1, 2017 – January 1, 2019
New York University
Master’s Degree, Urban Data Science and Informatics
January 1, 2015 – January 1, 2016
Università Bocconi
Bachelor’s Degree, Economics
January 1, 2012 – January 1, 2015
Covalo
Data Science Lead
October 1, 2025 – October 1, 2025
Zurich, Switzerland · Remote
Swiss Data Science Center
Senior Data Scientist
January 1, 2024 – September 1, 2025
Zurich, Switzerland
Swiss Data Science Center
Data Scientist
November 1, 2020 – January 1, 2024
Zurich, Switzerland
Ericsson
Data Scientist
August 1, 2019 – October 1, 2020
Stockholm, Stockholm County, Sweden
Bosch
Master Thesis Student
February 1, 2019 – July 1, 2019
Stuttgart Area, Germany
Ericsson
Machine Learning Intern
June 1, 2018 – August 1, 2018
Greater Gothenburg Metropolitan Area
Office of the New York State Attorney General
Data Analyst
September 1, 2016 – August 1, 2017
New York City Metropolitan Area
Office of the New York State Attorney General
Volunteer Data Analyst Intern
January 1, 2016 – August 1, 2016
New York City Metropolitan Area
Porsche
Product Management Intern
July 1, 2013 – August 1, 2013
Food Deserts and Educational Performance
November 1, 2015 – December 1, 2015
Scientific research into the effect of food deserts on pupils in New York City
Cultural Fit Analysis
The candidate's diverse experience across government (Office of the New York State Attorney General), research (Swiss Data Science Center), and industry (Ericsson, Bosch, Porsche) demonstrates adaptability and a broad range of interests. The academic background in Urban Data Science, Economics, and Machine Learning further supports a versatile profile. The project on 'Food Deserts and Educational Performance' indicates an interest in impactful, socially relevant data analysis, which could align well with organizations valuing social responsibility. However, the majority of recent experience is heavily skewed towards Data Science and Machine Learning, which, while valuable, might indicate a stronger preference for those areas over a pure Data Analyst role, potentially impacting cultural fit if the target role is strictly analytical without ML components.
Soft Skills & Operational Fit
The candidate's experience at Swiss Data Science Center highlights leadership in project development, collaboration with engineers, and educational efforts, indicating strong communication and teamwork skills. The role also involved lead generation, suggesting business acumen. The description of automating database workflows and streamlining information extraction points to an operational mindset focused on efficiency.