ACAdora Chen

DATA ANALYTICS & ECONOMIC RESEARCH

Adora
Chen.

I study how markets work
through data.

I’m Xuange (Adora) Chen, an Applied Statistics master’s student at Penn State, with a background in mathematics and economics. My interests span business analytics, econometrics, and economic consulting.

01 / RESEARCH

From a question to a defensible conclusion.

INDEPENDENT RESEARCH

Delta–Northwest
Merger

A route-level analysis of airline fares

PythonPanel dataEconometrics
View analysis code

The question

How do fare patterns differ between routes with pre-merger Delta–Northwest overlap and comparison routes?

The approach

I construct passenger-weighted route-quarter fares from DB1B-derived market summaries, estimate route and quarter fixed-effects models, and examine event-study trends and sensitivity to route definitions and weighting.

WHAT THE ANALYSIS SHOWS

Pre-merger trend differences limit causal interpretation. Comparing sample definitions is essential to understanding what the estimates can—and cannot—tell us.

Explore the analytical workflow
  1. Audit the inputs. Check schema, missingness, duplicate keys, and data provenance.
  2. Build the panel. Aggregate passenger-weighted fares and classify pre-merger route exposure.
  3. Estimate and challenge. Examine fixed effects, pre-period trends, and alternative samples.
  4. Communicate uncertainty. Document assumptions and distinguish regression contrasts from causal effects.

Analysis code and replication instructions are available on GitHub. Source data are not included.

02 / BACKGROUND

Statistics, economics, and practical analysis.

Built on quantitative
foundations.

I enjoy turning messy data into structured analysis—and explaining the results clearly enough to inform a decision.

Download full résumé
PENN STATE · EXPECTED DEC 2027

M.S. in Applied Statistics

Regression models, statistical theory, and data mining.

PENN STATE · MAY 2026

B.S. in Mathematics and Economics

A foundation in quantitative reasoning and economic analysis.

APPLIED EXPERIENCE

Data analysis & teaching

Experience in customer segmentation, market analysis, business dashboards, and supporting university statistics and mathematics courses.

Analysis

Python · SQL · R · SAS · Stata

Visualization

Tableau · Power BI · Excel

Research methods

Panel regression · Event studies · Sensitivity analysis

03 / CONTACT

Let’s talk
data.

I’m interested in internship opportunities in data analytics, data science, and economic consulting.