Ana Fernandes

Position: Geospatial consultant at NIRAS
Categories: Geography, Geoinformatics
Location: Region Hovedstaden

Background

I’m a geographer with passion for geospatial data and the interactions between data, space, people and environment. I did my education in Geography and Geoinformatics, whereI first specialized in urban planning and more recently in geoinformatics and geospatial data, where I was able to publish some work during my studies. During my work experience, I’ve been able to work on many different projects, under a large diversity of themes, which I think is one of the coolest parts of working with geospatial data. Besides the processing and manipulation of data, my daily work is focused on the analysis of geospatial data, as well as building systems and workflows that facilitate the production of geospatial solutions. What I am passionate about is the ability to combine both the technology and the analytics framed by different disciplines and geographies, where different sciences can influence the approach to take. As examples, at my current work I’ve been part of mapping historical stonewalls in Denmark using Deep Learning, mapping rural agents for financial inclusion in Ghana, network analysis on local mobility for the future Light Rail train in Copenhagen, or mapping invasive species using satellite imagery and machine learning in Denmark.

Motivation

At my work I’ve had the opportunity to supervise students that did their master thesis or projects at our department. This experience was quite enriching, and also motivates me to apply for the mentorship program. I saw this as an exchange of knowledge and experiences, as well as a way to support aspiring professionals, with the great addition of witnessing their exciting contributions to the field. Furthermore, I believe that this will also be an important contribution for my personal growth and a learning experience, where I also hope to contribute in any way can to the mentees development path.

Skills, expertise, and interests

  • machine learning
  • deep learning
  • data analytics
  • data management
  • computer vision
  • consulting
  • image analysis
  • image processing
  • urban planning
  • geospatial data science
  • spatial optimizations