Martijn Van 't Hooft

Experience

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  Building Blocks

  Jun 2016 - Feb 2019

  Predict consumer behaviour for a car- and a health insurance company.Standardize frequently used predictions as part of team Applied Innovation.

  • Data scientist

    Sept 2016 - Feb 2019

  • Data science intern

    Jun 2016 - Sept 2016
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  Eurotransplant

  Jan 2019 - Jul 2020

  Graduate Research Intern

  Predict the probability of receiving a donor organ over time for end-stage liver disease patients using a multi-state Markovian Cox Proportional Hazards model in the presence of competing risks.Create a front-end where physicians can enter data measurements of their patients and see insights in the probability of receiving a donor liver.

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  Bol.com

  Jan 2020 - Jan 2022

  Customer Journey Excellence Analyst

  Situation: The largest retail platform in The Netherlands bol.com missed out on revenue, because consumers did not find the product they were looking for amongst 35 million articles.Task: Lead the commercial organization to the most impactful gaps on the platform using data.Actions: - Combine click, search, and market data to structurally detect missing products, coach commercial teams to use the insights, and productize the solution. - Develop and maintain customer journey related dashboards containing insights in clicks, click-throughs, bounces, and conversions over time.Result: Shift towards data-driven commercial organization including several million in yearly revenue on products added via the gap detection analytics products. Weniger anzeigen

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  Building Blocks

  Jun 2022 - Aug 2024

  Machine Learning Engineer

  Situation: Building Blocks supplies custom SAAS to personalize customer journeys of e-commerce companies.Task: Develop algorithms to personalize customer journey touchpoints for existing and new clients.Actions: - Implement personalization algorithms using recommender systems for 3 companies and measure the impact using AB-testing. - Maintain and improve code base containing standardized personalization algorithms.- Develop real-time personal website recommendation product and conversational taste discovery product and implement at first client.- Support data scientists to implement personalization algorithms developed by product team using best practices.- Develop client portal to enable clients to configure and visualize personalizations.Result: Biggest statistically significant improvement of a business KPI is +5.5% more freelancer-job matches for a job platform by personalizing in-app job list page orderings. Weniger anzeigen

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  Biognosys

  Sept 2024 - now

  Software Engineer Proteomics