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John G.JG

John G.

Head of Research | Applied AI | Mixed Methods

£778/day
Amsterdam, NL
3-7 years

Average response time: 1 hour

About John

Before establishing Articul Research B.V. I worked for top European research institutions such as ABS, ASE and ASCOR carrying out business research across quantitative and qualitative methods, with a focus on data science and AI. My specialities include mixed method research designs, statistical analysis, causal inference, supervised and unsupervised machine learning and applied AI. My Amsterdam-based research lab is industry and data agnostic, and works with a select portfolio of SMEs.
  • English

    Native or bilingual

  • Spanish

    Fluent

  • Bulgarian

    Native or bilingual

Can work on-site
Amsterdam (up to 50km)

Experience

  • Articul Research B.V.
    Founder and Head of Research
    CONSULTING AND AUDITS
    June 2025 - Today (1 year)
    Amsterdam, Netherlands
    • Executed large scale research projects combining data science and qualitative approaches, from business diagnosis, through research design execution, to custom software development.
    • Coordinated a team of more than 20 analysts, scientists and engineers, with functional knowledge in econometrics, anthropology, engineering and more from top European research institutions.
    • Built a select portfolio of clients across industries such as venture capital, medical technology, luxury goods retail and other, delivering more than 1 million euro in value for clients per year.
    Business Research Big Data Mixed Methods Research Data Analytics Custom Software Development
  • NOKI Lab
    AI Research and Innovation Analyst
    TECH
    September 2025 - Today (9 months)
    Amsterdam, Netherlands
    • Engineered, validated and deployed AI agents for the largest research body in the Netherlands. Worked on hyper parameter tuning, context and prompt engineering, and retrieval augmented generation.
    • Tested frontier and open source models to assess functionalities before deployment. Created benchmarks to measure performance in more than 10 fields, including finance, economics and marketing.
    • Worked directly with domain experts to understand their requirements, map out their process and determine optimal approach. Built multi-agent systems, and advanced workflow applications with Python.
    Applied AI Benchmark API RAG AI Agents
  • Amsterdam Business School
    Quantitative Research Assistant
    RESEARCH
    February 2023 - June 2025 (2 years and 4 months)
    Amsterdam, Netherlands
    • Developed approaches for explainable AI systems in assessment and evaluation contexts. Created machine-readable rubrics and multi-step processed to minimize variance and bias in deployment.
    • Researched survey methods, experimental designs, structure interviews, focus groups and participant observation designs. Worked with all major statistical analysis and analytics reporting platforms.
    • Evaluated econometric and data science research designs, through analysis of methodological process. Focused on causal methods and assessment of validity, reliability and generalizability in findings.
    Experimental Design KPIs and Metric Definition and Monitoring AI and Advanced Analytics Econometrics Survey Design

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Education

  • Bachelor of Science (BSc) | Major: Business Administration and Finance | Minor: Quantitative Analysis
    University of Amsterdam
    - Applied Econometrics - Information Data Management - Quantitative Data Analysis - Portfolio Theory - Finance - Money and Banking
  • Bachelor of Science (BSc) | Major: Communication Science | Minor: Research Methods
    University of Amsterdam
    - Statistical Modeling - Business Research Methods - Experimental Research - Survey Research - Evidence Based Management - Strategy and Organization

Skill set

Categories