cover-photo

Student at Yale University

Mountain View, CA, USA

tuan.nguyen.doan@aya.yale.edu

203-435-6710


Publications

Moyo, S., Doan, T. & Yun, J.(2018). Application of machine learning models in predicting length of stay among healthcare workers in underserved communities in South Africa. Human resources for health, 16(1), 68

Doan, T.(2019). To lead or not to lead: Quantifying the effects of half-time scoreline on football game outcomes with Generalized Linear Models. Manuscripts submitted for publication

Published Medium articles on the applications of statistics, with more than 800 followers and 110,000 views


Languages

Vietnamese

English

Spanish

Korean


Work Experience

Mobile Data Scientist / Quora
August 2019 - Present

Technology Innovation Intern / Deloitte
June 2018 - August 2018
  • Reduced expected manual data review time for clients by up to 75% by developing a proof of concept for an automated data integrity improvement process

  • Synthesized client reports, internal expertise and state-of-the-art research to compile an overview of extracting data from semi-structured sources; formulated a procedure to evaluate potential partners’ solutions

Deep Learning Research Intern / Seoul National University
June 2017 - August 2017
  • Collaborated with 3 graduate students to implement a neural machine translation architecture in order to research industrial applications of chatbots

  • Built pipelines for time-series prediction of stocks for research into novel asset allocation strategies

Data Scientist Intern / Spring Care Inc.
Jan 2017 - May 2017
  • Architected and developed graphical visualization of drugs’ side effect data on Spring Care website by using d3.js

  • Extracted, restructured and visualized more than 1GB of drugs’ adverse event data from the openFDA dataset; integrated new data to enhance Spring Care’s research on machine learning approaches to depression treatment

Data Analyst Intern / Africa Health Placement
Jun 2010 - Mar 2012
  • Designed and implemented a platform in Excel to automatically compile and present data from surveys of 3 000 doctors; streamlined data cleaning process and shortened reporting time by half

  • Applied logistic regression model to a database of more than 20 000 data entries, predicting AHP long-term trend in doctor recruitment based on candidate’s demographic data at a more than 80% accuracy rate

Education

Yale University
2015 - 2019

Bachelor of Science in Statistics and Data Science


Saint Joseph Institustion International, Singapore
2012 - 2014

International Baccalaureate