David Lundquist Email & Phone Number

Seattle, WA, US

Santa Barbara, California, United States

Wrote end-to-end, production-ready statistical software and supporting dashboard hosted on an AWS EC2 instance to identify drivers of topline metrics and test for mix-shifts, largely automating the creation of callouts for Weekly Business Reports. Separately, used Amazon Bedrock for prompt-engineering for LLM-generated SQL to improve Claude-powered.

Seattle, Washington, United States

Reduced churn from Amazon Currency Converter using parametric modeling (Cox proportional hazards (CPH) with time-varying covariates), accelerated failure time (AFT), multi-state models, as well as packages PySurvival and Scikit-Survival; provided richer business-actionable information compared to classification approaches to churn, including (1).

Sunnyvale, California, United States

At DevIntel, built metric-monitoring system using Python targeting changepoints and trends by augmenting the PELT algorithm (https://arxiv.org/pdf/1101.1438), with twin goals of spotting unusual activity in developer productivity and supporting dashboards for manual explorations of productivity. Validated system via simulations and used asymmetric Jaccard.

Sunnyvale, California, United States

At Core Compute Analytics (CCA), aimed at classifying Borg compute jobs suitable for spatial shifting, with goal of reducing carbon and energy expenditure while limiting transmission costs, yielding a classifier that correctly recalls over 98% of spatially shiftable Google Compute Units (GCU). Furnished ML pipeline with real-time classification of.

Analyzed streaming providers (Netflix, Disney+, etc) using Python, PySpark, and 30TB of alternative to develop leading indicators, metrics, KPIs, and graphics for use in dashboards available to market analysts and portfolio managers, preparing traders for Netflix's 75% stock price decline from 2021 to 2022.

Collegeville, Pennsylvania, United States

• As a member of CMC, used LASSO and other shrinkage estimators to optimize manufacturing processes for numerous important outcome variables.
• Recommended experimental designs tailored to the needs of scientists, designs including full-factorial and fractional factorial designs, blocking.

Charlotte, North Carolina Area

• Built automated monitoring system for detecting anomalies and breakpoints in time series of credit card segments; co-wrote Python class for enhanced user experience
• Conducted exploratory analysis of account holders with gig-economy jobs; evaluated their risk as borrowers and made recommendations for evaluating gig-economy income earners

Greater Philadelphia Area

As member of Advanced Analytics Team, used predictive algorithms to identify most promising four-year colleges for promoting BEXSERO® vaccine

Roseland, New Jersey

Statistical Analytics InternExecuted months-long research project on identifying significant spikes in stock market time series data; conducted literature review on competing methods; performed high-N stochastic process simulations to validate techniques; worked on team that produced interactive graphics displaying results

Zhengzhou, Henan, China

Washington D.C. Metro Area

Reported on international affairs for byline pieces for US news-wire service

Doctor Of Philosophy - Phd, Statistics, 3.79

Post-qual PhD student with research interests in time series, stochastic processes, econometrics, causal inference, economic shocks, and.

Master'S Degree, Statistics, 3.4/4.0

Coursework: probability theory, multivariate analysis including PCA and factor analysis, robust regression, combinatorics, stochastic.

Ma, Chinese Studies, 3.68/4.0

Relevant coursework: advanced microeconomics, global economic history, political economy of China, international relations

International Chinese Language Program, Mandarin

Intensive Mandarin study, including translation, media, scholarly and persuasive writing, classical Chinese

M. Litt, Philosophy

Thesis title: "System and Procedure in the Justice of Adam Smith and John Rawls"

B.A., Philosophy, 3.67/4.0