Work
  • Mar2023 - Present
    Miro
    Lead Data Scientist

    As Lead Data Scientist at Miro, I work in the Forward Deployed Analytics unit, leading strategic analytics projects that cut across the business. I contribute to product development and monetization decisions by:

    • Leading cross-functional strategic projects, including Miro’s new enterprise licensing models, from identifying opportunities, developing new frameworks, finding consensus among leadership (CFO to validate numbers, CRO to validate solution fit and relevance, CCO for large-account needs) and releasing an experimental framework to validate those hypotheses
    • Running about 40 experiments and raising the team’s experimentation standards, and acting as a go-to resource for analytics best practices and data literacy across teams
    • Mentoring, tutoring and developing junior analysts, including coaching 4 analysts to become self-sufficient in experimentation (A/B testing, statistical rigor and causal inference)
    • Combining quantitative and qualitative methods to understand product usage, performance and user profiles, and turning the findings into clear recommendations for product, monetization and growth

    My toolkit includes Cursor, dbt, Looker, SQL, R, Python, Databricks and Bash. I use them to extract, model, analyze and visualize data, and to turn it into clear narratives that drive decisions.

  • Mar2022 - Feb2023
    Miro
    Senior Data Analyst

    My first role at Miro, before moving up to Lead Data Scientist in March 2023.

    Key responsibilities and achievements:

    • Maximize monetization across acquisition and expansion through in-product flow and role differentiation analysis, improving admin experience and driving organic growth
    • Build predictive models of the user journey, net revenue retention and customer lifetime value to show what drives long-term commitment, expansion and retention
    • Support the product lifecycle end to end, from research and prioritization to experiment design and result analysis
  • Nov2019 - Mar2022
    Blendle
    Senior Data Analyst

    As Senior Data Analyst at Blendle, I helped the Growth and Product team track their KPIs through the creation and automation of dashboards, alerts, and reports that could be used to assess performance over time.

    Key responsibilities and achievements:

    • Contributing to the design and implementation of new subscription infrastructure based on multiple third party payment providers
    • Assisting operational teams with data resources needed for relevant user communication
    • Creating predictive models to understand user journey impact on long-term product commitment
    • Segmentation of user base into distinct, relevant groups for better service delivery
    • Ad-hoc analyses about product usage, performance and profiling
    • Tools: Looker, SQL, R, Python, Bash
  • Mar2019 - Nov2019
    Hotelchamp
    Data Analyst

    As Data Analyst at Hotelchamp, I focused on creating and maintaining insights dashboards to deliver actionable insights to our partners, while developing and implementing LookML Models in Looker to provide intuitive tools for BI users.

    Key responsibilities and achievements:

    • Creation and maintenance of insights dashboards to deliver actionable insights to partners
    • Development and implementation of LookML Models (Looker) to provide intuitive tools for BI users
    • Automation and expansion of reporting for product KPIs and analytics
    • Ad-hoc customer and market analyses for internal and external stakeholders
    • Tools: Looker, SQL, R, Python
  • Nov2015 - Dec2016
    University of Amsterdam
    Freelance Contributor

    As a Freelance Contributor at the University of Amsterdam, alongside my research master, I worked on INCA, a bundle of scraping and analysis functionalities for social scientists.

    Key responsibilities and achievements:

    • Recent: designed Python scrapers for news articles, stored over time via Elasticsearch in a large collection
    • Past: contributed to the development of a web interface running Pymongo for an automated content analysis tool capable of analyzing a custom database of all Dutch newspaper articles published in the past decade
  • Mar2015 - Jan2016
    University of Amsterdam
    Junior Researcher

    As a Junior Researcher at the University of Amsterdam, alongside my research master, I worked on research into the online privacy debate in newspapers.

    Key responsibilities and achievements:

    • Jointly developed an analysis of the online privacy debate covered by Western newspapers in five different countries, identifying the evolution of the debate across time, key landmarks and variations across national newspapers
    • Presented preliminary results at Etmaal 2016 (Communication science conference NL & BE)