Skills

Software

Data Science

R

Data Manipulation and Visualization

Frameworks include:

• Tidyverse (esp. dplyr, ggplot2)

• data.table

Geospatial Analysis

Concepts include:

• Simple features (sf)

• GIS raster graphics

• Administrative Regions via Chloropleth Maps

More

Focuses include:

• Regular Expressions (stringr, grep())

• Web Scrapping (rvest)

• Machine Learning

  • Linear regression, including Splines and GLMs
  • Support Vector Machines
  • Resampling and Bootstrapping
  • Cross Validation, Model Selection, and Tuning (including Ridge Regressions and LASSO)
  • Big Data, including data querying tools such as BigQuery and analysis through Boosted Random Forests (rpart)
  • Classification: \(K-\) Nearest Neighbors, \(K-\) Means Clustering, Logistic Regression

• Econometrics

  • Linear Regression
  • Fixed Effects Models
  • Time Series, including AR(I)MA, GARCH, Unit Root Testing, andVector Autoregression models
  • Instrumental Variables

Python

I work primarily in R. However, I do have some intermediate experience in Python. This includes familiarity with

• Data processing through pandas

• Visualization through Plotly and similar (e.g. Leafly and threejs)

• Package management, e.g. through conda and npm

• Notebook frameworks such as Jupyter

• Machine Learning and scientific analysis through tensorflow, scipy, numpy

• Web-design frameworks Django, which powers the experimentation platform oTree

Databases

• Experience in SQL via R usage, knowledge of relational database principles and industry-standard tools

• Proficient in MS Excel

Documentation + Presentation

Quarto

Quarto is my tool of choice for document processing, through Pandoc, it allows for a wide range of input and output formats. This allows for convenient formatting and flexible output, including - HTML (this website!) - Technical documents in PDF format (via LaTeX or Typst) - Presentations (via MS PowerPoint and reveal.js)

More

• Fluent in Microsoft Office, including

  • Word
  • Excel
  • Powerpoint
  • OneDrive, OneNote, Outlook, and Teams

• Very experienced LaTeX user…

• …recent convert to Typst

Web Design

(HTML/CSS + JS)

Modern HTML frameworks and principals, including - Bootstrap 5 - Jekyll (using Ruby + Liquids) - Hugo (using Go) - Web-Quarto - Django (through oTree) - CSS and SCSS/Sass, practice writing DRY code - Working with SVG images

Extensive use of jQuery as well as vanilla JS in DOMs

Familiarity with - Node.js - Typescript

General Purpose

• Version Control through Git & GitHub

• Proficient in Windows and Linux (Ubuntu) OS’s; experience in both PowerShell and Bash

• Java¹

• Basic usage of Wolfram Mathematica

Economics

Behavioral Economics

• Time Discounting & Present Bias
• Altruism, Gift-giving, and Trust
• Framing and Nudging
• Prospect theory, Loss Aversion, Anchoring
• Bounded Rationality
• Learning

Game Theory+

• Normal Form and Sequential Form Games
• Best Response Analysis, Rationalizability, and various flavors of Nash Equilibria
• Credible and non-credible threats
• Games of Complete and Incomplete Information; Information Design
• Repeated Interaction
• Contract Theory
  • Principal-agent problems
  • Moral Hazard
  • Adverse Selection
  • Signaling
• Bargaining
• Auctions
• Evolutionary Game Theory

Experiments

• RCTs²
• Stratification
• “In-the-lab” and “Out-of-the-lab” experiments
• Causal Inference (Rubin Causal Model)
• Learning

Econometrics

• OLS³ Regression
• Hypothesis Testing
• Instrumental Variables
• Propensity Score Matching
• Distributional Effects

Microeconomics

• Profit Maximization, Imperfect Competition, Theory of the Firm
• Demand estimation and preference representation
• Individual (consumer) choice problems
• Industrial Organization
• Social Preferences
• Applied Microeconomics, including Urban housing models, Health and Crime Economics, Labor

Other

Other training specializations: Macroecnomics, Monetary Policy, Developmental Economics, Environmental Economics, Cost-Benefit Analysis

Project Management

Research

• End-to-end project management

• Extensive experience in research question design

• Practical experience in research experiment design

Soft Skills

• Very comfortable and confident public speaker

• Excellent written and verbal communication skills

• Aptitude for working individually as well as in a team

• I really like learning things, and I’d be excited to develop new skills through employment opportunities

Other

Language

• Intermediate understanding of Spanish and French, with similar speaking skills

• Novice understanding of Italian and German

• I greatly enjoy linguistics and language; I hope this section grows in the future

Looking for More?

• For tools that I am actively using, check out Resources > Tools

• For more research interests and projects, see here

• Click here for my CV/resume

Footnotes

1. My first computer science class in college was an accelerated course in Java

2. Randomized Control Trials

3. Ordinary Least Squares