GroupM / Mindshare / Greenhouse

2019–present: Various marketing data consultancy projects at GroupM‘s Mindshare & Greenhouse.

Goal: Growing our clients’ business by improving their marketing engines through data-driven strategies, and by bringing clients to a higher level of data maturity.

Process: GroupM Nexus is a digital performance agency with over 500 experts in data, media, creative and tech. Together we support our clients in running the most creative campaigns, achieving maximum results, and exploring new opportunities.

As a Data & Marketing Science Consultant, I am discussing and shaping marketing strategies based on solid data-driven solutions covering the broad fields of Audience Segmentation & Personalisation, Marketing Effectiveness, Consumer Experience Optimisation, Digital Analytics and Data Engineering.

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2015–2019: Various data management implementation projects at Adversitement.

AdversitementGoal: Providing enterprise clients with digital data excellence — collecting and processing all relevant customer-generated information, both online and offline, and turning these data into reliable insights, empowering brands to improve their products and services, and to deliver an optimal customer experience

Process: As a business consultant, it is my responsibility to translate business strategies and specific requirements into solid solutions in the field of online and offline data management and analytics — supporting our clients’ data analysts, providing them with high-quality data and the right tool sets to work with this data.

Secret weapon: Our unfair advantage is DimML, a unique programming language that enables us to deploy a single infrastructure for collecting, measuring, monitoring, transforming, integrating, enriching and distributing dynamic data — from any given source and in real-time.

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2013–2015: 3-year innovation project at Smart Homes.

victoryahome_picGoal: Design and test an intelligent environment, smartphone app and telepresence robot to support and connect older adults, family and professional caregivers.

Process: Interviews, focus groups, user evaluations with early prototypes, videos, redesigns, and an extensive 1-year evaluation study with 40 families in 4 countries.

Results: First 3 iterations have been finished. In 2015, the long-term evaluation study has started. See my demo video or visit In April/May 2015, Discovery Channel aired a short documentary on my project.


2010–2013: 3-year research & innovation project at Smart Homes.

mobiserv_picGoal: Design and evaluation of a social robot and intelligent home to provide health and wellbeing services to older adults and their family.

Process: User-centred design, including observations, diary studies, concept generation, wireframing, prototyping, and extensive pilots in controlled environments and people’s own homes.

mobiserv_vidResults: Several iterations of prototypes have been tested with end-users and their caregivers. See the final demo video.


2009–2012: 4-year research & innovation project at Smart Homes.

companionable_picGoal: Designing, developing, and testing a social companion robot and ambient intelligent environment to support people with MCI or early dementia.

Process: Early prototyping, early user evaluations through Wizard-of-Oz studies, and several rounds of redesigns and extensive user tests with a fully working prototype.

companionable_vidResults: A fully working prototype and very positive responses from end users and their carers. For more info, see the video or visit

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