About me
Hello! I’m Ana.
I work as a freelance Data Scientist for national and international companies, focusing on turning data into intelligent solutions. My career bridges academic research and practical applications in corporate projects. Since July 2020, I have been working with data science and machine learning to address complex challenges in risk modeling for credit granting, supporting strategic decision-making. I also worked at a startup from its foundation, as part of the team that developed complete systems, including software and web applications.
I hold a degree in Applied and Computational Mathematics from IMECC and a Master’s in Electrical Engineering from FEEC, both at the University of Campinas (UNICAMP). Throughout this journey, I have worked on topics ranging from mathematical and statistical modeling to computational simulation and artificial intelligence. As a result, I was awarded an international research fellowship, two travel grants for international conferences, and won first place for my undergraduate research project.
During my master’s, I began working on modeling the spatial dispersion of a disease that affects several citrus species and threatens global citrus farming: HLB (Huanglongbing), also known as Greening. In Portuguese, it is called “Amarelão” and, to date, has no cure. Using cellular automata, I investigated how the spread of the inoculum (bacteria) impacts orchard productivity, considering the age of the infected plant. Building on this work, I applied Individual-Based Modeling (IBM), also known outside biology as Agent-Based Modeling, to study dispersion patterns of the insect vector (psyllid) under different conditions.
In 2017, I worked for 11 months at the Forstliche Biometrie und Forstliche Systemanalyse (“Forest Biometrics and Forest Systems Analysis”) research group at TU Dresden, Germany, funded by the European EBW+ Program. The group is recognized as a reference in Individual-Based Modeling and Ecological Modeling.
During my undergraduate research, I worked at LabMaC (Computational Mathematics Laboratory) at Embrapa Agricultural Informatics with a CNPq research scholarship. There, I developed a deterministic compartmental model to analyze the behavior of Equine Infectious Anemia (EIA) between the disease vector (horsefly) and its host (equines).
Today, my research and professional interests include:
- Machine learning and applied AI
- Mathematical and computational modeling
- Mathematical biology and ecological modeling
- Simulation and analysis of complex systems
Since 2023, I have been practicing Muay Thai, an activity that has enhanced my focus, concentration, and motor coordination, while fostering discipline, quick decision-making, and emotional intelligence to manage pressure, control anxiety, and maintain mental clarity. The sport has also strengthened my ability to identify patterns and anticipate actions, improve my learning capacity through new movements, and increase body awareness — qualities that help me solve complex problems in data science and artificial intelligence.
In my spare time, I practice nature photography, which has become a way to explore and better understand the world around me, appreciating details and capturing natural beauty that often goes unnoticed. After all, recognizing patterns also happens beyond the screen, away from lines of code and equations.