Joshua Browning
Data AnalystStaff Machine Learning Engineer at Upstart
Upstart
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Staff Machine Learning Engineer at Upstart
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
My dream job is to work for a company where I do something that impacts the world while at the same time using my analytical skills. Specialties: Programming experience in multiple languages, strong mathematical background, quick learner.
Colorado School of Mines
Masters of Science, Statistics
January 1, 2013 – January 1, 2014
University of Colorado Denver
Certificate, Statistics
January 1, 2010 – January 1, 2011
Monash University
Mathematics
January 1, 2009 – January 1, 2010
University of Colorado Denver
MS, Mathematics
January 1, 2007 – January 1, 2009
Colorado School of Mines
Bachelor of Science, Engineering Physics
January 1, 2004 – January 1, 2007
Platte Canyon High School
Diploma
January 1, 2000 – January 1, 2004
Upstart
Staff Machine Learning Engineer
January 1, 2023 – Present
United States · Remote
AMP Robotics
Senior Machine Learning Developer
January 1, 2018 – January 1, 2023
Greater Denver Area
Experfy
Lecturer
January 1, 2017 – March 1, 2017
Coolblue
Senior Data Scientist
April 1, 2016 – January 1, 2018
Rotterdam Area, Netherlands
FAO
Statistician
December 1, 2014 – March 1, 2016
Rome, Latium, Italy
Mediaplex
Client Analyst
September 1, 2012 – March 1, 2014
Denver Metropolitan Area
eBags
Statistical Analyst
April 1, 2011 – September 1, 2012
Denver Metropolitan Area
University of Colorado Denver
Statistical Consultant
October 1, 2010 – May 1, 2011
Denver Metropolitan Area
City of Melbourne
Intern
April 1, 2010 – August 1, 2010
Greater Melbourne Area
Monash University
Research Assistant
September 1, 2009 – August 1, 2010
Greater Melbourne Area
United Launch Alliance (ULA)
Mechanical Engineer: Separation Dynamics
August 1, 2007 – April 1, 2009
Englewood, CO
Detecting Insults in Social Commentary
August 1, 2012 – December 1, 2012
Kaggle hosts data mining competitions, and I worked on a project analyzing some text data they posted. The problem was: Given some comment (from an online blog, forum, tweet, etc.) determine whether it is an insult. They provided a training dataset in the form of a two-column matrix (text and 1/0 for insult/not insult). Using text data mining techniques, I developed an algorithm that was able to predict insults on the test data set with an AUC of roughly .90.
Causal Attribution Engine (IMPACT)
March 1, 2012 – Present
Development of the industry's first true Causal Inference measurement system for marketing performance measurement.
Algorithms: Design and Analysis, Part 1
Coursera
June 24, 2026 – Present
Learn to Program: The Fundamentals
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from academic research in Latin Squares to industrial AI and marketing performance measurement, indicates a broad intellectual curiosity and adaptability. Their roles in various companies (startups, large corporations, international organizations) suggest an ability to thrive in different organizational cultures. The lecturing experience also points to a willingness to share knowledge and contribute to team growth. The target role of Data Analyst aligns well with their extensive background in statistical analysis and data-driven problem-solving.
Soft Skills & Operational Fit
The candidate's experience as a lecturer and statistical consultant suggests strong communication and problem-solving skills. Their work on diverse projects indicates adaptability and a structured approach to complex analytical challenges. The descriptions of automating performance monitoring and designing statistical methods point to an operational mindset focused on efficiency and accuracy.