Declan DuBois

Amherst College 2029 Economics and Statistics

About

I am an Amherst College student studying Economics and Statistics, with interests in investment research, quantitative analysis, and decision-making under uncertainty. My work ranges from evaluating businesses and their valuations to designing experiments on how consumers assess financial risk. I am particularly interested in developing conclusions that are grounded in evidence rather than intuition alone.

Outside the classroom, I enjoy classical history, Football Manager, and Fantasy Premier League. Editing educational history videos and commentating live esports have given me different ways to practice making complex subjects engaging and understandable.

Selected Projects

Investment research

Freeport-McMoRan (FCX) — Investment Review

Analyzed copper supply and demand, Freeport’s operating recovery, cash generation, and valuation. Despite an attractive long-term industry outlook, I recommended keeping FCX on a watchlist at the $69.54 reference price, given the earnings recovery already implied by its valuation and the company's capital requirements. The PDF includes an update following third-quarter earnings.

Data analysis

Where the Hours Go — Time-Use Analysis in R

Analyzed 22 days of timestamped calendar records to examine variation in homework, paid work, and a defined recreation activity. Built a reproducible R workflow for importing, classifying, summarizing, and visualizing time-use data, with a discussion of measurement limitations and an appendix containing the analysis code.

Experimental research

Pocket Expert or Placebo? — AI Assistance in Online Marketplaces

Designed and preregistered a randomized experiment with nine decision tasks and 384 systematically varied product listings. Used Qualtrics and conditional logistic regression in Stata to compare consumer decisions with an expert benchmark, finding that consumers were substantially less averse to off-platform transaction requests.

Skills

Investment & financial analysis
Financial statement analysis, cash-flow and capital expenditure review, earnings-multiple valuation, investment thesis development, and scenario and sensitivity analysis
Statistical analysis
Conditional logistic regression, regression modeling, hypothesis testing, and interpretation of experimental results
Software & programming
Microsoft Excel and PowerPoint, R, Stata, Qualtrics, and Java
Experimental & academic research
Randomized experimental design, preregistration, literature review, questionnaire design and branching logic, CONSORT reporting assessment, and structured content classification
Data management & reporting
Spreadsheet reconciliation, data validation, cross-departmental collection, institutional benchmarking, and research documentation
Communication & languages
Research presentations, technical writing and feedback, stakeholder collaboration, public speaking, and fluency in English and French

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