Tools

Programming Languages

★★★★★ Python
★★★★★ Julia
★★★★★ C#
★★★★★ R
★★★★☆ Dart
★★★★☆ Java
★★★☆☆ C++

★★★☆☆ MATLAB
★★★☆☆ Stata
★★☆☆☆ MS VBA
★★☆☆☆ JavaScript
★☆☆☆☆ Delphi
★☆☆☆☆ Rust

         As a programming languages maniac, I thrive mastering new coding paradigms and exploring different languages like Python, R, Julia, C++, and Java, among others. My passion for programming began early, evolving from crafting applications in Delphi to leveraging advanced tools like Keras (Python) for machine learning and Unity3D (C#) for game development. Whether it’s building complex economic models, scraping data with Selenium (R), or experimenting with Bayesian estimation in Rstan, I find joy in the challenge of bending code to solve real-world problems. This obsession not only fuels my academic research, where I integrate neural networks with structural models, but also drives my hobbies, from developing video games to tinkering with rack servers, always chasing the next breakthrough in computational creativity.

Technologies

• Excel

• Tableau

• Linux KVM

• AWS

• Dot NET

• HTML

• WordPress

• django

• OpenGL

• Unity3d

• Irrlicht

• jMonkey

• json

• XML

• SQL

• LaTeX

• Bloomberg terminal

Favorite Libraries

• keras

• tidyverse

• plotly

• ggplot

• stargazer

• RSelenium

• pandas

• numpy

• data.table

• magrittr

• linq

• scipy

• sklearn

• feather

• statsmodels

• pyblp

• foreach (R)

• matplotlib

• xgboost

• Experimental Design

• Linear Regression

• Logistic Regression

• Clustering

• Multidimensional Scaling

• Instrumental Variables

• General Method of Moments

• Regression Discontinuity

• Quasi-Random Experiments

• Matching

• Random Forest

• Monte-Carlo Simulations

• Bayesian Approach

• Principal Component Analysis

• Neural Networks

• Support Vector Machine

• Nearest Neighbors

• k-means

• Attribution Model

• Collaborative Filtering

• Deep Learning

• Survival Analysis

• Matrix Factorization

• Singular Value Decomposition

• Ensembling

• Gradient Boosting

Quantitative Methods