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, environmental impact assessments, and nature-based solutions.
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, with previous experience in 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 and Governance, Statistics, Programming, Spatial statistics, (Web)Cartography with R, RShiny, Machine Learning, Big Data, Ecosystem Services Modelling
