PhD in Astrophysics · Data Analyst
Since I was little, I've been fascinated by the Universe and its mysteries — that's what led me to physics in 2014. Along the way, I completed a master's degree and a doctorate with a focus on astrophysics, where I worked with SQL, Python, and statistical analysis long before they were called "data skills." With my PhD done, I brought all of that into a new field — I joined a consultancy, was placed at a client company from day one as a Data Analyst, and it didn't take long before they invited me to join them directly. Along the way, I also took on the role of bringing data knowledge to non-technical teams through internal courses. Looking back, I was always a data analyst — the subject just changed.
Connect on LinkedIn
Work Experience
Mar 2025 — Present
Sicredi
Data Analyst — Payment Methods Team
Internalized directly into Sicredi's Payment Methods team after being allocated there through Compass UOL — one of Brazil's largest cooperative financial institutions. Working on the cards journey with a focus on credit revenue analytics, building data structures, dashboards, and analytical models using Databricks, SQL, Python etc.
Aug 2024 — Mar 2025
Compass UOL
Data Scientist — Allocated to Sicredi
Joined Compass UOL, a leading technology consulting firm, as a Data Scientist and was allocated to Sicredi's Payments Ways team from day one. Worked embedded within the client's data team for 7 months, contributing to the same analytical and pipeline work — earning a full-time offer to join Sicredi directly.
Education
Bachelor of Science
Physics
Universidade Federal de Santa Maria
UFSM · Brazil · 2015
Read thesis ↗Master of Science
Physics
Universidade Federal de Santa Maria
UFSM · Brazil · 2019
Read dissertation ↗Doctor of Philosophy
Physics — Extragalactic Astrophysics
Universidade Federal de Santa Maria
UFSM · Brazil · 2024
Read thesis ↗Specialization · In Progress
Data Science
Ongoing
Current
Monthly Notices of the Royal Astronomical Society
Probing Stellar Populations and Interstellar Medium in Early-Type Central Galaxies
Analysis of stellar populations and the interstellar medium (ISM) in 15,107 early-type central galaxies from the SPIDER survey using SDSS optical spectra. The study investigates stellar age, metallicity, visual extinction, and Hα equivalent width — exploring how these properties relate to central velocity dispersion and halo mass across isolated and group central galaxies. Proposes a scenario where ionized gas properties are shaped by AGN feedback and intracluster medium cooling.
Skills
Soft Skills
Analytical Thinking
After 12 years in exact sciences and astrophysics, breaking down complex problems step by step just became how I think. It carried over naturally into data work.
Communication
Presenting research and data findings to very different audiences, from academic committees to business teams, made communication feel natural over time. I'm always looking to improve, but it's something that flows easily when the moment asks for it.
Adaptability
Going from astrophysics to financial data analysis wasn't an obvious path — but it worked. I adapt when I need to, even if the beginning of something new takes a little longer. New challenges don't scare me.
Curiosity
Curiosity is just part of who I am — it's what made me fall in love with the cosmos as a kid and end up studying physics. As a data analyst, it's what makes me actually enjoy the work. I genuinely want to know what's hiding in the data.
Collaboration
I've always worked alongside people from different backgrounds — researchers, physicists, and now developers, PMs, data engineers, architects. Having different perspectives on the same problem is something I genuinely value. You always come out with a richer view of things.
Attention to Detail
In astrophysics, the data doesn't forgive careless mistakes — and neither does a financial pipeline. Working in both worlds made me naturally careful with the details, because one small error can change the whole picture.
Certificates & Courses
Supervised Machine Learning: Regression and Classification
Stanford / DeepLearning.AI — Coursera
View certificate ↗Advanced Learning Algorithms
DeepLearning.AI — Coursera
View certificate ↗Unsupervised Learning, Recommenders & Reinforcement Learning
DeepLearning.AI — Coursera
View certificate ↗Santander Bootcamp 2023 — Backend Java
Santander / DIO
View certificate ↗Master SQL for Data Science
Udemy
View certificate ↗Lei Geral de Proteção de Dados (LGPD)
Brazil — Data Privacy
View certificate ↗Desenvolvimento Orientado a Objetos
Object-Oriented Programming
View certificate ↗Languages
Contact
Open to new opportunities in data analytics, especially in global or remote roles. Fluent in data — learning every day to be more fluent in English.