Data Scientist Vendor for Microsoft• Conducted exploratory data analysis on large-scale datasets, leveraging SQL and Python (Pandas, NumPy, Scikit-learn) to uncover patterns, trends, and actionable insights, directly supporting strategic business decisions.• Developed and implemented natural language processing (NLP) solutions to extract meaningful insights from unstructured text data, enabling improved analysis of user behavior and operational efficiencies.

• Managed the R&D department while providing technical training and support to cross-functional teams.• Enhanced Uruguay's Forest Fire prevention and monitoring efforts by implementing the Canadian Fire Weather Index and a real-time satellite alert system.• Led the seasonal forecast team, developing statistical models and calibrating dynamical models' outputs. Conducted media appearances for communication.• Contributed to a research project focusing on sub-seasonal air temperature forecasting in North America, utilizing Random Forest and Neural Networks with Scikit-learn and TensorFlow.• Created a near-real-time satellite image visualizer using GOES-16 spectral bands and a Geostationary Lightning Mapper (GLM) viewer, utilizing GEONETCast and AWS data.

Led Inumet's seasonal forecast team, developing and calibrating statistical models based on dynamic global climate models. Collaborated with technical areas of the Institute and provided training courses, including an introduction to the R programming language.

As an Early Stage Researcher in the Marie Curie Initial Training Network Action LINC, I applied complex network techniques to gain insights into climate dynamics, with a focus on atmospheric teleconnections. This work formed the basis of my PhD thesis in Physics at Universidad de la República (Uruguay), under the supervision of Dr. Marcelo Barreiro and Dr. Arturo Martí.During the project, I conducted research stays at the Universitat Politecnica de Catalunya and Utrecht University. I presented my work at international conferences and participated in specialized schools on topics such as Time Series Analysis at Climate Risk Analysis company (Heckenbeck, Germany) and Weather Regimes and Weather Types in the Tropics and Extra-tropics at ICTP (Trieste, Italy).

I analyzed physical processes within the cores of nuclear reactors as part of the Physics and Analysis Department at NA-SA, the licensee of Argentina's Nuclear Power Plants. Specifically, my work focused on calculating fuel element decay heat and radioactivity using nuclear reactor codes such as PUMA, WIMS, and ORIGEN-S. I also completed a specialization in Nuclear Reactors at the Dan Beninson Institute and a diplomate in Energy Management at UCES during my time at NA-SA.

Experience as a Process Engineer within the Young Professionals Plan of the company. Specifically in the horizontal continuous casting process of aluminum.

Full-time scholarship from CNEA (National Atomic Energy Commission) to study BS in Physics and MSc in Physics Science at the Balseiro Institute. During my Master's studies, I did my thesis under the supervision of Dr. Damián H. Zanette at the Statistical and Interdisciplinary Physics Group of the Bariloche Atomic Center.

Assistance to the students in understanding the theory by solving practice exercises.