I work with an amazing team on Data 4 Good initiatives in emerging markets. We use big data to build analytics tools that empower data-driven decisions among development communities and policy makers. On a day-to-day basis, I manage a complex political ecosystem of end-users, funders, regulators and data vendors. I am currently leading projects in East Africa, South America and Asia which focus on public health, smart cities, access to finance, agriculture and gender.
I believe in the power of communities to bring everyone’s full potential into life. I am a member of the Global Shapers Community of the World Economic Forum and an Ambassador of One Young World.
Projects credited in
- Leaders with social heart: 100 creative changemakersCelebrating social responsibility is at the heart of what we do, so we've partnered with Squarespace – whose mission is to inspire people with creative ideas to succeed – to shine a light on 100 influential luminaries from art, technology, charity, design, business and more that are working tirelessly to make our world a better place. To highlight these organisations, we asked 10 creative changemakers to each nominate 10 people behind inspiring brands, products and movements with amazing social
- Epidemic Surveillance AppDalberg Data Insights developed epidemiological surveillance tools in Brazil, Zambia and West Africa. The tool converges incidence data collected from health centers together with population mobility to • Define which regions/department can be qualified as importer and/or exporter of the disease • Predict risks of an epidemic outbreak • Define disease eradication impact on one area versus another one • Evaluate the most strategic areas to deploy campaigns • Provide analytics and reporting of the2
- Gender Analysis and Identification using Big DataDalberg Data Insights partnered with GSMA Connected Women to develop the Gender Identification and Analysis Toolkit (GAIT) with one primary purpose: to allow operators to predict the gender of their subscribers on an individual, MSISDN level. The information gap the toolkit addresses is an important one; understanding the nature and scale of the mobile gender gap is a prerequisite for closing it. GAIT is a machine learning algorithm that analyses mobile usage patterns to estimate the gender of s
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Work history
Associate Partner & Co-founderDalberg Data Insights
Brussels, BelgiumFull Time
Skills
- Data
- Data Analytics