Key accomplishments

  • Deployed GBM models and Prefect data pipelines to production for predictions of customer credit behavior, and conducted model monitoring and follow-up refitting to improve model performance
  • Designed and analyzed AB testing and observational data with econometrics and machine learning methods to draw causal inferences and estimate the impact of new product features and strategies on consumers, sellers, and e-commerce platforms
  • Led cross-team projects and end-to-end analyses, from wrangling data, statistical modeling, to hypothesis testing and bringing business insights and actionable recommendations to product and operation teams
Role 1
Data scientist
Role 2
Machine learning engineer
Test Score
AI, Machine learning, Data Science
100%
part-time-16-hours-per-weekfull-time 40-hours-per-weekcontract
Any
Lead
Canada
Any
NA
Remote
$151,200.00 / Annual
Willing to work for paid projectsWilling to work for equity and paid projects

Tags

AITechFintechCommerceTech

Education

  • August 11 2014 - July 26 2019
    University of Pittsburgh, USA

    Ph.D. Quantitative Finance

    Research Area: Quantitative corporate finance using large-scale datasets and causal inference methodologies

  • August 6 2012 - May 30 2014
    Iowa State University, USA

    M.S. Economics

Experience

Expertise

Machine Learning
95
Data Science
95
Data Analytics
95
Causal Inference
100
Python
90
SQL
100
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