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Hi there! 👋🏼 I'm Felipe Lamarca and...

I study Data Science and AI at FGV EMAp and Social Sciences at FGV CPDOC. I was born and raised in Rio de Janeiro, Brazil 🇧🇷, and I'm a proud Carioca.

  • ☕ I'm interested in Statistical Modeling, Machine Learning, Deep Learning and Computational Social Sciences
  • 👨🏻‍🔬 I'm really into modeling complex phenomena and getting to the bottom of why they happen the way they do
  • 📚 I've been studying more about Bayesian statistics and multilevel modeling
  • 🎮 Other than that, I'm also into playing video games1 and (sometimes) exercising

📬 This is my e-mail, if you'd like to reach out: [email protected]. If you prefer to speak face to face, feel free to schedule a chat with me 📆.

Check my Linktree 🔗 or my [concise] [detailed] resume 📄 for more information about my work!

📰 News

August 06, 2024
I've been accepted into the AI Safety Fundamentals: Governance course, offered by BlueDot Impact. I look forward to deepening my understanding of AI Governance, connecting with others in the field, and contributing to impactful work in AI Safety.

August 01, 2024
I've started a new role as a Teaching Assistant for Quantitative Methods II, under the supervision of Professor Jairo Nicolau, PhD. My goal is to help students from the Social Sciences to learn useful skills for industry, academia, and government, such as programming and statistics.

June 18, 2024
The research project of my undergraduate thesis, titled The determinants of electoral success in legislative elections in Brazil: an approach using Bayesian multilevel models, was approved with full marks. I am deeply grateful to Professors Jaqueline Zulini, PhD and Luiz Max Carvalho, PhD for their outstanding supervision. I'm excited to dive deep into this research!

Footnotes

  1. Big fan of the Assassin's Creed and God of War franchises. Also had much fun playing Hogwarts Legacy 🔮 ↩

Felipe Lamarca's Projects

a2_statmod_2023 icon a2_statmod_2023

Aggregator for the final reports on Statistical Modelling (FGV EMAp 2023/2)

bankruptcy-prediction icon bankruptcy-prediction

I use the Financial Distress dataset from Kaggle to explore bankruptcy prediction using machine learning.

blogging-system icon blogging-system

Blogging and content publishing system developed for the Software Engineering discipline (FGV EMAp)

brazilian-elections icon brazilian-elections

Exploratory analysis of Southeast and Northeast (Brazil) municipal elections from 2020.

conformal-prediction-evaluation icon conformal-prediction-evaluation

Estudo sobre Conformal Prediction com objetivo de avaliar o método em relação a abordagens clássicas no escopo de Machine Learning

data-visualization icon data-visualization

Repository where I keep all the assignments and projects developed in the scope of the Data Visualization discipline, lectured by Professor Jorge Poco (@jpocom) (FGV EMAp).

datagrid icon datagrid

Implementation of search, sorting & selection algorithms to build an efficient datagrid. Project developed within the scope of the Algorithm Design and Analysis discipline, lectured by Professor Thiago Pinheiro de Araújo (FGV EMAp).

deep-learning icon deep-learning

Assignments and presentation developed in the scope of the Deep Learning discipline, lectured by Professor Dário Oliveira (FGV EMAp). Co-authored with @anacarolerthal.

desafio-magro-advogados icon desafio-magro-advogados

Teste técnico para a vaga de estagiário de inteligência de dados na Magro Advogados. Fui aprovado no processo seletivo, mas optei por aceitar outra proposta. Agradeço à equipe da Magro pela oportunidade!

desafio-renovabr icon desafio-renovabr

Teste técnico para a vaga de estagiário de dados no RenovaBR. Fui convidado para a etapa seguinte do processo, mas optei por não seguir com a candidatura para aceitar outra proposta. Agradeço ao RenovaBR pela oportunidade!

formula1-viz icon formula1-viz

Visualização de dados de competições de Fórmula 1 em D3.js.

jekyll icon jekyll

Jekyll-based static site for The Programming Historian

jpeg-compressor icon jpeg-compressor

Linear Algebra project that assembles a jpeg image compressor in order to further study matrices and linear combination. Authors Guilherme Melo and Felipe Lamarca.

machine-learning icon machine-learning

Repository where I keep all the assignments and the project developed in the scope of the Machine Learning discipline, lectured by Professor Diego Mesquita (FGV EMAp).

mlalgorithms-from-scratch icon mlalgorithms-from-scratch

Implementation of Machine Learning Algorithms from scratch for the discipline Techniques and Algorithms in Data Science (FGV EMAp), taught by Professor Alberto Paccanaro.

nascidos-vivos-viz icon nascidos-vivos-viz

Eleboração de visualização em D3.js para a disciplina de Visualização de Dados FGV EMAp

numerical-linear-algebra icon numerical-linear-algebra

Scilab implementations of numerical methods for solving problems related to Linear Algebra. Discipline taught by Professor Antônio Carlos Saraiva Branco (FGV EMAp).

observatory-of-elections icon observatory-of-elections

My personal repository of the discipline Observatory of Elections, lectured by Professor Jaqueline Porto Zulini (@jaquepz) (FGV CPDOC).

ph-submissions icon ph-submissions

A work-in-progress site for submitting and reviewing new Programming Historian lessons

podflix icon podflix

Recommendation algorithm for podcast episodes using Deep Learning

programming-languages icon programming-languages

Development of a website using Python, HTML and CSS. Repository for the Programming Languages discipline (FGV EMAp).

pygame icon pygame

Development of a game using Pygame

scielo-summarizer icon scielo-summarizer

[EN-US] Scrapes papers from SciELO and summarizes them using Llama3 | [PT-BR] Extrai artigos do SciELO e os resume utilizando Llama3

statistical-modeling icon statistical-modeling

Projeto para aplicar técnicas de Modelagem Estatística. Case: dinâmica do voto em deputados federais nas eleições de 2022. Disciplina lecionada pelo Professor Luiz Max (@maxbiostat) (FGV EMAp).

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