Assistant professor of economics Resume

SKILLS:

R (caret, lme4, dplyr, ggplot2, Matching); Python (pandas, Geopandas, scikitlearn, matplotlib); MATLAB; SQL

PROFESSIONAL EXPERIENCE:

Assistant professor of economics

Confidential

Responsibilities:

Teach data - driven courses in macroeconomics, health economics, and environmental economics

Litigation consultant

Confidential

Responsibilities:

Provided support in lawsuit surrounding automotive accident which resulted in eventual settlement
Estimated lifetime home-healthcare costs required by plaintiff as a consequence of injuries sustained

Litigation consultant

Confidential, Miami

Responsibilities:

Used Geopandas to assign flood zones to all parcels, and hedonic regression to estimate price effects
Also predicted counterfactual sale prices using lasso and ridge regression

Confidential

Responsibilities:

Use Python to process and analyze 5 years of energy use data at a public university
Produce estimates of realized energy savings to compare to quote provided by contractor

Litigation consultant

Confidential

Responsibilities:

Used decision theoretic approach to analyze and compare alternative coral reef restoration projects
Used bootstrapping procedure to select optimal restoration policy at tropical coral reefs

Litigation consultant

Confidential

Responsibilities:

Used hedonic regression to study how coal mines affect property values
Applied cross-validation to define exposure, revealing price impacts of between -17 and -24%
Also used k-NN matching to estimate disamenity impacts

Litigation consultant

Confidential, West Virginia

Responsibilities:

Constructed a unique dataset from hospitalization records, coal industry data, and Census data
Employed panel data econometrics to generate robust evidence of a negative public health externality

Litigation consultant

Confidential

Responsibilities:

Used optimization routine in Matlab to derive appropriate climate policy under uncertainty
Empoyed parallel computing to solve complex climate model