Hi ✌🏾 I’m Johann

Economics MSc Candidate @ PUC-Rio

Hello there the angel from my nighmare

>>> print(Johann.nationality == 'German' or JohannsParents.nationality == 'German')
False
>>> # Ok?

I’m interested in Data Science, mainly Machine Learning methods and it's intersection with traditional Econometrics. Formally,

$$ \mathrm{Johann} \in \mathrm{Machine Learning} \cap \mathrm{Econometrics}. $$

There're many applications that arouse my curiosity. To summarise them, I generated a wordcloud (you can see the code here).

Moreover, we all agree that R $\succ$ Python, right?

🔨 Toolkit

Programming (or Analysis)

(Some) Libraries and resources

Document preparation

My most used languages

🎓 Education

Master's in Economics

🗓️ 2023-In progress

🏫 PUC-Rio

🏁 GPA: ★★★★★★★★☆☆

Bachelor's in Economics

🗓️ 2018-2022

🏫 Fluminense Federal University

🏁 GPA: ★★★★★★★★★☆

👨‍💻 Some Projects

🚩 flags

Using Brazilian Census data, I generated wordclouds summarising municipalities population for each Brazilian state, using it's flag as shape. Flags for all states were automatically collected using BeautifulSoupfor web scrapping.

⚽ attendance

Flamengo moves brazilian soccer ahead! I used R and Brazilian league data from Base dos Dados to compare the average attendance between Flamengo and non-Flamengo matches

🇺🇸 USBalance

I used Bureal of Economic Analysis (BEA) data for replicating and updating some of the analysis performed by Maggiori (2017), for a Macro course.

$\hat{\beta}$ mle

Even though GitHub took the $\LaTeX$ template into account and considers this a TeX project, this is actually a Graduate Econometrics assignment solved in R using Sweave to integrate it to TeX. Take a look at the files main.Rnw (R + TeX file) and main.pdf (compiled document).

📮 Contact

You can send me an email