CV

Alejandro Domínguez

Cinephile, Data Scientist, Economist, in that order.

About

Energetic Economics and Data Science dual-degree holder with experience in policy-making. Adept at using data analysis and econometrics to drive effective, data-informed policies.

Research Experience

Dr. Roberto Ponce

Research Assistant (07/21-Present)

Involved in projects such as; Calculation of living wages, municipal development program of Naucalpan,Innovation District in Querétaro, Mobility patterns in NL and agent-based simulation with TASHA of UTTRI.Gained experience from working under stress and meeting high level officials, skills of programming (Mlogit, tidyverse, simulations, surveys, ggplot, leaflet, shiny)

Professor René Rosado

Research Assistant (07/22-08/22)

Research assistant with tasks at MIT Reap. I was in charge of doing economic complexity analysis with Hidalgo and Hausmann methodology. The analysis was focused on the crops in Mexico City. Learned how to do a webscrapper for INEGI in python and maps visualization in Python.

Technical Experience

H. Congress of the State of N.L, Mexico

Chief of Advisors to the Treasurer of Juárez (04/23-Present)

Managing a team that makes recommendations to the treasurer. We use data science in topics such as fiscal policy, mobility, campaigns, etc.

Tecnológico de Monterrey

Teacher Assistant (08/23-12/23)

Planned and gave 14 hours of class to 7th semester students. This was in the Data Science concentration for economists. I taught the basics of R (Data wrangling and visualization)

United Nations Development Programme PNUD

Specialist in Experimentation (11/22 – 04/23)

Evaluation of interventions done by PNUD. Differences in differences, Instrumental variables, regressions. Database management using R.

Awards

Infonavit Economics Award 2021 1st Place

Así vamos’ Research Award 3rd Place

Capital Clash Datathon 1st place

Economist Undergrad of the Year, 1st place

Publications

Proposal for the measurement of housing quality and satisfaction based on the National Housing Survey (Published)

Estimating Informal Workers in a Large Latin American Urban Area for Transportation Modelling – a Machine Learning Approach (Draft sent for revision)