Marlène Boura, PhD


As a PhD-trained data scientist and ecologist with over 10 years of expertise, I specialize in transforming complex data into actionable insights. My passion lies at the intersection of spatial data analysis, machine learning, and data visualization.
My ecological expertise focuses on ecosystem services valuation, biodiversity conservation, ecological continuities, species distribution modelling, remote sensing, GIS, environmental impact assessments, and nature-based solutions. I also have very good knowledge of the EU environmental policies.
Need a hand for science or environmental communication? Get in touch, I'd love to help you build a storytelling based on your data and scientific facts.
I like to focus on reproducible data analysis workflows, geographic information systems (GIS), dashboards, and I bring both scientific rigor and innovative thinking to the projects I'm involved in!
Programming R, Python, Bash, SQL, JS (previous experience with MATLAB, SAS and Stata)
Statistical Modeling & Machine Learning Proficient in handling spatial and temporal data.
Bayesian Data Analysis Skilled in analytic programming with R and Python. Predicitve modelling, supervised and unsupervised machine learning, uncertainty quantifiation, A/B testing.
Dashboard & Web Applications Proficient in Plotly, R Shiny, Dash, Tableau for data visualization and analytics. Experience with Looker Studio.
GIS & Spatial Data Science Experienced in R, Python, Leaflet, QGIS, ArcGIS, Graphab and MitiConnect.
Techincal skills
Data Insight & Strategy I help businesses and researchers make sense of their data through effective management and governance strategies, ensuring impactful decision-making.
Visualization & Automation Whether it's creating compelling dashboards or automating data processes, I am particularly passionate about visual storytelling through cartography and webmapping projects.
Trainings Data Literacy, Data Governance, Statistics, Programming, Spatial statistics, (Web)Cartography with R, RShiny Applications, Machine Learning, Big Data, Ecosystem Services Modelling.


