dlotter,Diego Lottermann,github

Hello World! 🚀

My name is Diego Lottermann and I help companies make data initiatives a reality. I also study economics at FEA/USP and was the founder of FEA.dev.

Here you'll find topics that I'm passionate about, such as:

Data Science/Engineering
Econometrics
Causal Inference

If you are a recruiter

Here are some cool projects:

Diego Lottermann's Projects

aulas_dev-py

Material used in the FEA.dev python lectures

gt-final-datascience

Repositório para entrega do projeto final de Data Science do Grupo Turing.

gt-final-quant

Repositório com entrega do projeto de Quant do Grupo Turing

knn-workshop

Repository for the first Artificial Intelligence Workshop from FEA.dev. In this project we use the campus recruitment dataset from kaggle (Link in README).

petz

Esse repositório contém a resolução do case Petz feita usando o Databricks.

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.