I'm a data scientist in Curitiba, Brazil. I have 4 years of professional experience in developing and managing machine learning products, from defining a baseline on top of business rules to automated cloud implementation of end-to-end machine learning solutions. Feel free to contact me if want to work together or to chat about interesting topics.
Analytics
I enjoy exploring data and building clear visualizations to support the business with actionable insights. To me, understanding the data is crucial to make healthy business decisions on top of key performance indicators and develop good predictive models.
Insights
Insights requires smart work on top of the data, not only to understand it but also to decide whats is the best course of action. Sometimes it is just an one-off model to make a decision, sometimes it is a whole automated end-to-end solution.
Development
From practical insights gained from thorough statistical analysis, I have developed and deployed many AI services that have improved business results, whether by optimizing applied resources in key areas or completely changing business strategies.
Personal Projects
There isn't much right now, I've just started this portfolio and to be fair I've never worked on public stuff before. However, there are some projects on the way to fill this section in the near future
Acme Rockets - Landing Page
I know, as a data scientist I'm supposed to display cool dashboards and apply awesome machine learning models. However, to display it I need to understand frontend development, so I used this as a exercise to learn more about CSS. It based on a tutorial for tailwindcss aimed at your regular frontend JavaScript developer, but I applied it with Python + FastAPI since I was more interested into learning how expand my options with Python development for Data Science and Machine Learning.
Data Science Done Right
Data science tips and tricks to enhance data analysis and predictive modeling.
Most of the tips shown here aren't directly useful to the day-to-day job, but they'll demistify many concepts around machine learning and data science. This knowledge will hopefully build up to the point it'll help you achieve greater results as the blackbox around many pip install magic-buttons used daily are opened.
Currently it is only a repository on GitHub. I'm still undecided whether I'll create a blog on top of the rambling I write there or if I'll create some page for it.
Data Science Resources
Books, vids, libs and other resources for Data Science and Machine Learning, all freely available online.
I just want to gather on a single place everything helpful and free for datascience and machine learning. Anytime someone ask me some learning material I can grab the link here or I can share this repository with them.
Currently it is only a repository on GitHub. Eventually will become a full page.
Coming Soon
As I'm just starting, more material will be released on data science and machine learning. There are already two tutorials with live examples being prepared:
- How to build dashboards with FastAPI, HTMX and Altair.
- How to deploy and monitor machine learning models through Docker containers.
Everything will be released on my GitHub.