Leticia Pérez

After my Bs. and Ms. in Physics I decided to deepen my programming and mathematical skills to approach complex problems by using graph theory, NLP, ML, Image Processing and Time Series analysis.

Being in constant learning and open to new challenges, I had the opportunity to get involved in diverse projects:
- studying European institutions collaboration networks
- analyzing impact of off-line events on social media users
- predicting trend evolution of the agro markets and energy consumption demand,
- creating a cadaster collection and collecting satellite imagery for land surface monitoring
...

I am fascinated by the potential of data modeling to revolutionise industries and address critical challenges. Among the sectors I truly feel inspired are:
- Earth Observation and Space Technologies: huge and fast developments are achieved by integrating Earth observation data with advanced analytics and Machine Learning algorithms. In particular, I find very important to develop indexes which can alert about natural catastrophes such as droughts, deforestation, and wildfires, as well as addressing sustainability, food security and smart cities.
- Healthcare: data is crucial for this sector as it can deliver an early patient diagnosis, it helps to personalise treatment, real time monitoring of vital signs, drug discovery.

Data Scientist Researcher in the start-up AgrowingData, where ML and Data Analytics techniques are applied for decision-making in the smart-agro sector.

Data Scientist in the group of Advanced Analytics of Endesa, predicting energy consumption for energy supply.

BSc and MSc in Physics

PhD Candidate in Complex Systems