Error! Bookmark not defined.Luke Miner
680 Douglass Street, San Francisco, CA 94114
Phone: 415 407 6196 E-Mail: lminer@gmail.com
Objective
A former economics professor and researcher with a strong quantitative background and programming
experience seeks a data scientist role at a tech company. Strong applied statistical skills as well as an ability to tell
stories with data; growing machine learning experience; a strong writer; and team player.
Education
Ph.D. in Economics, London School of Economics
2007-2012
Fields: Applied Econometrics, Development Economics, Political Economy
M.Sc. in Economics, London School of Economics
2005-2007
B.A. in Philosophy, Stanford University
1996-2000
Skills
Technical Skills:
 2+ years experience with machine learning, feature selection, NLP
 7+ years experience with applied econometrics: hierarchical models, time series, survival analysis,
instrumental variable, regression discontinuity, program evaluation
 4+ years experience with R and Stata
 2+ year experience with Python, Scikit Learn, Pandas, Statsmodels, numpy, etc
 1 year experience with Java
 Proficient with MySQL
 Proficient with GIS tools like ArcGIS/QGIS
Languages:
 English (native), French (fluent), Japanese (intermediate), Spanish (basic)
Experience
CrowdPac, VP of Data Science
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Refine Crowdpac model for determining ideology based on voting records, natural language processing
of bills, and campaign contributions
Implement algorithm for performing entity resolution on campaign contribution records
Reengineer model in python using scikit-learn, pandas, numpy, NLTK, selenium, SQLAlchemy
C9 Analytics, Senior Data Scientist
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May 2015 - Present
August 2013-April 2015
Devised algorithm, which provides probability that a sales opportunity will be won given its history. 20%
more accurate than previous algorithm
Created time series model for forecasting weekly sales revenue
Helped create model for estimating close date of a sales opportunity
Implemented pipeline in python for all three models from data extraction up to scoring of probabilities,
using scikit-learn, statsmodels, pandas, and numpy
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Stanford University, Google Fellow
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Conducted research under Larry Diamond as part of the Center on Democracy, Development and the
Rule of Law program on Liberation Technologies
New Economics School, Assistant Professor of Economics
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October 2012-August 2013
September 2012-March 2013
Taught graduate level courses in microeconomics and political economy
Conducted independent research; attended academic conferences
The Office of Fair Trade, London, Summer Intern
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Programmed models for simulating the price effects of different mergers in Mathematica.
Trained OFT economists in use of merger models.
Created variation of the ALM model, which takes account of mergers where collusion results in price
increases.
Paris Jazz, Author
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2003-2004
Wrote Paris Jazz, a walking tour jazz history of Parisian jazz published by an imprint of the New York
Review of Books.
The book explored neighborhoods like Montparnasse, Montmartre, and Saint Germain, and detailed the
lives of musicians such as Sidney Bechet, Josephine Baker, and Django Reinhardt.
The New York Review of Books, Editorial Assistant
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Summer 2007
2001-2002
Edited submissions on topics such as philosophy, economics, politics, and physics.
Authored reports on unsolicited manuscripts and helped select them for publication.
Chose contributors and books for review.
Research
“The Unintended Consequences of Internet Diffusion: Evidence from Malaysia”,
Journal of Public Economics (forthcoming)
Can the introduction of the Internet bolster the opposition in a semi-authoritarian regime? I examine this question
using evidence from Malaysia, where the incumbent coalition lost its 40-year monopoly on power in 2008. I
develop a novel methodology for measuring Internet diffusion using IP geolocation data, which I use to calculate
Internet penetration in Malaysia from 2004 to 2008. Using an instrumental variable approach to account for
endogenous Internet placement, I find that areas with higher Internet penetration experience higher turnout and
higher turnover, with the Internet accounting for one-third of the 11% swing against the incumbent party in 2008.
In fact, the results suggest that, in the absence of the Internet, the opposition would not have achieved its historic
upset in the 2008 elections.
“The Internet's Impact on Voter Mobilization: Evidence from the United States” with Valentino Larcinese (LSE)
The internet is said to have played a key role in the 2008 US presidential campaign: the Obama campaign's
online fundraising online arm brought in a record $500 million in small individual donations; and the campaign's
heavy use of social media purportedly contributed to the highest rate of youth turnout since voting was extended
to 18-year-olds. We examine these phenomena exploiting geographic discontinuities along state borders with
different right-of-way laws, determining the cost of building new infrastructure. We find that areas with higher
Internet growth experience higher turnout, are more likely to provide small donations to the Democratic Party, and
are more likely to swing to the Democratic presidential nominee.