Biography
Jade Nguyen is a PhD economist with research interests in Causal Inference and Machine Learning in economics and business applications. She combined theoretical economic modeling with quasi-experimental empirical techniques to analyze the effectiveness of welfare programs and estimate the causal impacts of trade policies on fertility decision and female employment. She currently works as a Senior Consultant at Lightcast and helps firms optimize on workforce strategies with in-depth data-driven analytics.
Interests
- Causal Inference and Experimentation
- Applied Microeconomics
- Business Intelligence
Education
PhD in Economics, 2023
Boston College
BA in Economics, 2014
Brown University
Skills
Technical
Python
Data Science
SQL
Hobbies
Knitting
Experience
Senior Consultant
Lightcast
- Perform quantitative analysis by leveraging various data sources to explore, model, and recommend talent strategies
- Communicate results to high-profile clients and stakeholders via presentations and written reports
- Utilize NLP to automate processes and enhance efficiency in generating custom data-driven insights for clients
Senior Associate Intern
Charles River Associates
- Conducted statistical analyses to support antitrust litigation in automobiles, agriculture, pharmaceuticals, retail
- Tasks included: natural experiment, event study, market definition, new competitor detection, customer churning
Doctoral Researcher and Instructor
Boston College
- Research papers
- Research Assistant for Prof. Anant Nyshadham and conducted econometric analyses for the paper “Expectations, Wage Hikes, and Worker Voice: Evidence from a Field Experiment” (The Economic Journal, July 2022)
- Taught undergraduate courses in Microeconomic Theory; TA-ed in Statistics Lab, Principles of Economics, Econometrics
Deputy Manager
Mahindra Finance
- Built credit default predictive models with Logistic Regression and Time-to-Event Analysis to screen default risks
- Created a web application with R Shiny to host these credit default models, serving ∼1M borrowers in housing market
Accomplishments
Projects
We build a wine recommendation engine using wine reviews. Wines are very overwhelming due to the sheer variety and lack of consistent categorization. This tool can help buyers navigate many wine options and help sellers procure wines that fits consumer demand. Existing solutions out there (Vivino, Delectable) are restrictive, as they only allow users to search by wine name, grape type, price. Our wine recommender fills the gap by letting users enter free-form queries to search for wines that fit their tastes.
