DATA SCIENTIST

TRAVIS

JAMES

á acy06g@r.postjobfree.com

§ 360-***-****

â travis-james

Education

The London School of Economics

and Political Science

MSc Economics 2016

The University of Washington

B.S. (Honors, Cum Laude)

Economics 2014

Dean's List Every Academic Quarter

Minors in Mathematics and Spanish

Skills

CODING LANGUAGES

Python

SQL

Stata

STATISTICS

Hypothesis Testing

Bayesian Inference

Regression Analyis

Time Series

Probability Theory

Panel Data

MACHINE LEARNING

Cross Validation

Grid Search

Clustering

PCA

Neural Networks

Natural Language Processing

SPOKEN LANGUAGES

English (native speaker)

Spanish (conversational uency)

Activities

Rationale Magazine

Editor and Staff Writer - LSE

The Economics Undergraduate Board

The University of Washington

Teaching Assistant

Greg Ellis - The University of Washington

The Economizer

Writer - The University of Washington

Global Right to Education

Applicant Mentor - London, United Kingdom

G.R.U.B. Volunteer - Olympia, WA

Experience

Metis San Francisco, CA

Data Science Fellow Sep 2016 to Dec 2016

Part of a 12 week immersive data science bootcamp run through Kaplan, Inc. Developed 5 end-to-end data science projects utilizing exploratory data analysis, supervised and unsupervised machine learning, predictive analytics, natural language processing, data collection and munging, and database selection and management.

Pitchbook Data, Inc. Seattle, WA

Research Analyst Apr 2014 to Jan 2015

Conducted private equity and venture capital research and database management tasks for the research division.

Wrote SQL queries to pull relevant data from Pitchbook's proprietary database. Managed customer queries and developed strategies to solve them, while also managing team of interns. The Washington Business Alliance Seattle, WA

Research and Project Management Intern Jun 2013 to Aug 2013 Conducted economic research under Lisa Wellman, former VP of Apple’s publishing and new media division. Created a metric database of key public policy statistics within the state of Washington. Researched Washington state's standing within the elds of economic development, healthcare, education, environment and quality of life.

Progeny 3 Seattle, WA

Charted Financial Analyst Assistant Feb 2013 to Apr 2013 Worked directly with head of private equity investments on economic outlook of Indonesia. Utilized Bloomberg software and other sources to generate data and graphs. Presented actionable insights to nancial investment team. Enterpricing Buenos Aires, Argentina

International Tax Analyst Assistant Jun 2012 to Aug 2012 Conducted transfer pricing studies and completed economic outlooks on industries within Argentina. Performed contractual research between companies.

Utilized LexusNexis database for relevant data and information. Projects

Tracking Trends in Innovation Current

Used NLP to analyze weekly patent grant lings and visualize trends among innovation topics over time. Also used PageRank algorithm to show importance of patents based on citations, and turned model into interactive web app using Flask.

Predicting Loan Application Decision and Grade

Used Lending Club data to predict loan application decision and grade. Also built a ask web application to make model interactive, and included a d3.js visualization of the United States to demonstrate state-level loan statistics. Application decision model has an accuracy of 94%, precision of 82% and receall of 80%. Application grade model has an accuracy of 56% (random guessing yields 20%). Predicting IMDB Movie Review Sentiment

Predicted IMDB user scores for various movies using supervised machine learning techniques. These included both parametric regressions and non-parametric methods such as random forests and gradient boosting. Gradient boosting model has a test set adjusted R-squared of 0.6879. Run Time and Metascore positively in uence public sentiment. Oscar Wins and Budget negatively in uence public sentiment. Street Performer Allocation

Used New York City Metro data to perform an exploratory data analysis and came up with a sorting algorithm to equitably distribute street performers throughout the various subway stations of NYC. A Formal Comparison of Religious Texts

Used NLP topic modeling to compare the key themes of ve major religious and philosophical texts. Also performed sentiment analysis to compare the subjectivity and polarity of texts.

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