Experience

 
 
 
 
 
August 2013 – July 2014
Brasilia, Brazil

Lead Statistician

Brazilian Agency for Industrial Development (ABDI)

Worked with a multidisciplinary team in the development of studies and research papers/white-papers to assess the impact of public policies on Brazilian industrial development by gathering data from different sources and surveys, and analyzing it with simulation and quasi-experiment methods (difference in differences, propensity score matching), and data visualization techniques;

With a team, I developed a web enabled tool called The Competitiveness Decoder® (http://decoder.thegfcc.org/) that is focused on country data and has the goal of allowing users to learn and master the complexity related to competitiveness through different lenses. Find out more about it here: http://decoder.thegfcc.org/learn/decoder. You can find me under “Former Team Members” on the website;

Supervised the work of other statisticians, helped other teams to build a data frame suitable for answering questions in their areas, and followed up with them to verify the validity of the methods and the outputs they were producing.

 
 
 
 
 
August 2012 – July 2014
Brasilia, Brazil

Lecturer - Applied Statistics

Universidade de Brasilia

Taught applied statistics to undergraduate students from areas outside STEM (e.g. social sciences, psychology & others);

Found ways to convey complex concepts to a non-technical audience.

 
 
 
 
 
January 2009 – August 2013
Brasilia, Brazil

Researcher / Statistical Consultant

Institute for Applied Economic Research (IPEA)

Developed studies and research papers that used statistical and econometric methods to understand and quantify the impact of different Brazilian policies to support industry development;

Provided technical and methodological advisory services to senior researchers regarding statistical and econometric methods at various stages in the research process;

Handled, processed, and analyzed large datasets (12GB, 50+ million observations) of firm-level and employee data from Census and Surveys using SAS (PROC SQL).

Programming Languages

Hover over the bars to see the specific dates

Shiny Apps

For a list of my Shiny Apps, go to https://shiny.ogustavo.com

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Use this modal to add/remove sets of variables (and their values) to a dataset.

Choose between two randomly generated images.

Data Visualization with R

Create a Dumbbell Plot using geom_point

Create a create a ‘stacked waterfall’ chart in R

Awards

Selected Publications

This study aims to assess the impact of Brazilian Sector Funds from the standpoint of the amount of resources provided to industrial …

The air transport demand is directly related to economic cycles (domestic and international), to the currency fluctuations and …

Short Courses

 
 
 
 
 
May 2018 – July 2018
Online Course

Introduction to JavaScript

CodeAcademy

 
 
 
 
 
April 2018 – May 2018
Online Course

Learn Python

CodeAcademy

 
 
 
 
 
March 2012 – May 2012
Online Course - Coursera

Game Theory

Stanford University

 
 
 
 
 
February 2012 – June 2012
Online Course - Coursera

Model Thinking

University of Michigan

 
 
 
 
 
January 2012 – February 2012
Universidade de Brasilia, Brazil

Topics in Real Analysis

Summer Course

Analytical Skills

  • Impact Evaluation
  • Dataset cleaning
  • Dataset Manipulation
  • Research
  • Econometric Analysis
  • Quantitative and Qualitative Analysis
  • Data Modeling
  • Data Visualization
  • Problem Solving
  • Critical thinking

Statistical Skills

  • Time Series Analysis
  • Generalized Linear and Mixed Models
  • ANOVA/MANOVA/ANCOVA
  • Instrumental Variables Models
  • Selection Models
  • Matching Algorithms
  • Hypothesis Testing
  • Monte Carlo Simulations
  • Bootstrap Methods
  • Descriptive Statistics
  • Survey design

Dataset Skills

Experience with large datasets, including data from household surveys.

Had to combine several datasets - with around 50 million lines each and 15 GB each - by an unique identification number.

Used SQL procedures in SAS (PROC SQL) for data extraction and manipulation due to the size and complexity of the datasets.

Data Visualization

Some of the R packages that I have used for data visualization:

  • ggplot2
  • plotly
  • highcharter
  • dygraph
  • googlevis
  • ggiraph
  • shiny

Teaching

Teaching instructor for the following courses at University of Maryland, College Park:

2019 - Spring

  • MATH240: Introduction to Linear Algebra

2018 - Fall

  • STAT100: Elementary Statistics and Probability

Contact

  • contact@ogustavo.com
  • William E. Kirwan Hall - Room 4314, University of Maryland, College Park, 20742, USA
  • Tuesday 3pm to 4pm
    Otherwise email to book an appointment