I'm Allana Tavares 🖖
Welcome to my page!
I’m a PhD candidate in Computer Science at UFMG, advised by Dr. MartÃn Ravetti. I'm a
member of Future Lab and LAPO (Laboratory of Operational Research).
My main research interests are Complex Systems, Optimization
and Machine Learning!
I’ve always really liked Maths, Humanities and interdisciplinary
topics. Because of that, I became a bachelor in Administration.
During my graduation, though, I had the opportunity to be a
junior research fellow in Network Science, applying it in a
real-world bidding processes. That lead me to also discover
programming, starting with R. But that was it, I was absolutely
hooked!
During my free time, I'm usually reading or watching
something - and sometimes baking (which is 70% math, 10% your oven and 20% luck).
Feel free to find me on my socials or message me here!
Research interests: Complex Systems, Machine Learning (especially, GNNs and Federated Learning)
Research interests: Network Science, Complex Systems, Optimization, Dynamic Networks
Relevant subjects: Interaction Design, Algorithms and Programming Logic, Fundamentals of Software Engineering
Relevant subjects: Statiscs I and II, Calculus and Vectorial Calculus, Analytical Geometry and Linear Algebra, Operational Research, Market Research, Introduction to Pattern Recognition in Datasets, Design Thinking
2025 - 2029
First Year :)
2022-2024
Federated Learning - Project Mover
2022 - 2024
"Diversity-Aware Graphormer: Insights from Hate Speech Detection on 4chan"
2020-2021
Network Science research
2017-2019
2015-2016
Research on Enumerability and Infinity
04/2023 - current
Elicited requirements and developed the backend and API of Flautim, a cloud machine learning platform for Federated Learning
Tested the platform with federated and "unfederated" machine learning projects
Helped organize the platform's tutorials
Tech Stack: Python | MongoDB | Kubernetes | GitHub
04/2022 - 08/2022
Developed implicit recommendation system for product pages, based on product's category
Optimized NLP-based categorization of app ratings and comments to provide better insights for the business
Tech Stack: Python | SQL | AWS | GitLab
03/2020 - 08/2021
Developed a research in Network Science on the detection of anomalies in bidding processes, building a measure
Was a member in a research group on modeling the pandemic, using Data Science and Machine Learning techniques, together with Network Science concepts
Cleaned data, modeled the network, analyzed and generated the result graphs with R
09/2019 - 07/2021
Data cleaning of personnel information in proprietary software
Executed the emission, checking and alteration of data in SQL reports
08/2017 - 08/2019
Consolidated my team work abilities in a self-organized group with several demands in projects of research and extension
Worked as a member and leader in the planning and execution of workshops, talks, radio programs and qualitative research
Was editor-in-chief during my last year for a student academic magazine