Hi, I am Esdras Cavalcanti

Data Scientist

I'm a data scientist who loves to solve problems and create solutions. I'm passionate about technology and learning new things. I'm always looking for new challenges and opportunities.

About me

I'm currently studying Data Science and Artificial Intelligence at Fundação Getulio Vargas (FGV). Beyond my academic background, I've always been passionate about development—not necessarily limited to Data Science—which keeps me connected to broader tech fields. I'm constantly ooking for opportunities to leverage data for interesting insights and expand my skill set.

Outside of work and studies, I enjoy hiking and camping. While I'm not a professional athlete by any means, I like trying different sports — it's a fun way to stay active and connect with people I enjoy spending time with.

Esdras Cavalcanti

My Portfolio

Data Science
Others
All
How much does the ranking change in Formula 1?

How much does the ranking change in Formula 1?

svelte
html5
css3
python
d3js
javascript

We developed a visualization using D3.js to see how the F1 rankings change over the course of a season. The goal was to learn how to use D3 and answer some interesting questions. (Piastri in 2025 is a good example)

See all projects

Experiences

Data Science Intern

Data Science Intern

Bahia Asset Management

Jan 2024 – Present

  • Automated the collection of price data from multiple sources using python and built proprietary indexes to support inflation forecasting.
  • Developed an interactive dashboard to centralize and visualize economic indicators from countries covered by the research team, enhancing accessibility for other departments.
  • Created an ETL pipeline and real-time dashboard to monitor the 2024 U.S. election by integrating data from various sources.
  • Conducted exploratory analysis of microdata to generate insights for internal reports and econometric modeling.
  • Support the research team by automating data ingestion, processing, and dissemination workflows.
Research Assistant

Research Assistant

Visual Data Science Lab

Aug 2023 – Present

  • Built a visualization generation framework that leverages LLMs and a reasoning engine to produce line, bar, and area charts from structured data.
  • Participated in AI research projects using LLMs, contributing to technical seminars and collaborative discussions.
  • Developed tooling for experimenting with LLM APIs (OpenAI, Gemini) focused on automated and interpretable data visualizations.
  • Fine-tuned models such as T5, LLaMA, and BERT for automated generation of Vega visualizations and hierarchical data interpretation tasks.
Senior Consultant

Senior Consultant

FGV Jr. Consultoria e Finanças

Jul 2023 – Jan 2024

  • Co-developed an ERP system integrated with Mercado Livre's API for inventory and sales management in a small team.
  • Managed landing page projects for small businesses, handling deliverables and client communication.
  • Led internal workshops on React to onboard and train new developers.
Junior Consultant

Junior Consultant

FGV Jr. Consultoria e Finanças

Mar 2023 – Jun 2023

  • Reorganized the Digital Department's documentation and implemented agile methodologies (Kanban/Scrum).
  • Built operational and performance dashboards to support internal decision-making.
Undergraduate Researcher

Undergraduate Researcher

Instituto Militar de Engenharia (IME)

Aug 2021 – Oct 2022

  • Researched Mining Software Repositories (MSR), with a focus on identifying performance-related bug patterns.
  • Created tools for scraping and indexing scientific experiments on GitHub.
  • Applied memoization techniques to optimize scientific experiments.
Coordinator

Coordinator

IMEsec

Aug 2021 – Jul 2022

  • Taught introductory classes on cryptography and reverse engineering.
  • Represented the team in national and international Capture The Flag (CTF) competitions.