Personal details

Gustavo - Remote data analyst

Gustavo

Timezone: Brasilia (UTC-3)

Summary

I’m passionate about the purpose of helping others by sharing knowledge. I like the idea of challenging myself to find data-driven solutions, either it's a practical problem in a real business or an academic problem.

I believe that because of three reasons. First, after more than a decade of experience as a small business manager, I acquired a DEEP UNDERSTANDING OF BUSINESS. Second, in that period I use to perform data analysis on my daily basis, which provides me an ADVANCED LEVEL OF MICROSOFT EXCEL spreadsheet. Lastly, as a Ph.D. student in finance, I have been developing some academic-level research skills, including an EXPERTISE IN R LANGUAGE to analyze data.

Therefore, I give my best to use my background and find a solution to your problem. If I cannot solve it, you will get a FULL refund. So, there's absolutely no risk for you. I don’t charge anything if the mentee is not satisfied.

Work Experience

PhD Student
Graduate School of Business | Mar 2017 - Present
Python
R
SAS
RStudio
Crsp database
Compustat database
I do research focuses on time series forecast, text regression, machine learning, asset pricing and firm investment decision.
Visiting Scholar
University of Tennessee | Oct 2019 - Jul 2020
Python
R
SAS
Wrds server
At the University of Tennessee, I worked on the project “A text-based analysis of expected investment growth premium". This project has resulted in a complete database on returns, dividends, prices, accounting information, and text data. These data were separately collected from three different sources: CRSP, Compustat, and SEC Edgar database. Then, I create a unique database containing valuable firm-level information that will be useful for my empirical research. In this experience, I utilized sophisticated techniques to understand the file structure of the WRDS server and learned how to use SAS commands to download systematically the CRSP and Compustat data. To get the 10-k text documents from the SEC Edgar database, it was necessary to find a solution to collect the data in a systematic way, which was done by using the R statistical software.

Personal Projects

Stock ChartIconOpenNewWindows
2021
R
Shiny
Is a simple shiny app to see the chart of a specific stock, it is perfect to customize and automate some investment decision process.
Investor Sentiment on Brazilian MarketIconOpenNewWindows
2014
R
In this project, I tested the role of investor sentiment in a broad set of strategies that offer abnormal returns (anomalies). In other to do that, I compute value-weighted portfolio returns in Brazilians stock market.