Jed Chou
Verified Expert in Engineering
Software Developer
With an MS in pure mathematics and a professional background in data science and engineering, Jed is excited to help businesses make the most of their data through quantitative methods.
Portfolio
Experience
Availability
Preferred Environment
PyCharm, Sublime Text, MacOS, Ubuntu
The most amazing...
...thing I've coded is an algorithm that drastically improves the precision of company-wide A/B statistical tests
Work Experience
Lead Data Scientist
Target
- Led research for advanced statistical methods on Target's enterprise A/B testing platform.
- Developed Python/R software packages to unify and standardize testing methods. Wrote Python package to validate/optimize testing methodology through randomization inference simulations.
- Built machine learning and causal inference models to measure the incremental value of digital products at Target.
Data Scientist II
Yahoo!
- Led the development of machine learning models to measure advertising effectiveness and optimize campaigns.
- Developed algorithms to optimize programmatic advertising auctions.
- Supported data pipelines for Yahoo's source-of-truth financial data.
- Improved large-scale demographic prediction models by 1% through feature engineering.
- Taught 2-month internal Intro to Data Science course, mentored 3 data scientists.
Data Science Intern
Anheuser-Busch Inbev
- Built production system for forecasting weekly craft beer sales in R and Teradata. Achieved 93% forecast accuracy.
- Built statistical models to optimize multi-million dollar procurement auctions for raw materials used to produce beer.
Research Intern
Personify Inc
- Implemented test cases for real-time image segmentation software, leading to improved image segmentation on several edge cases.
- Explored mathematical approaches for enhancing reliability of image segmentation algorithms.
Experience
Attribution Modeling at Yahoo!
We gathered data on Hadoop for user impressions, clicks, and conversions, and trained models in Spark to predict individual user conversion probabilities. The trained model parameters were used to understand which campaigns were working and which weren't, enabling advertisers to optimize their spending across various ad channels.
Skills
Languages
C, R, Bash, SQL, JavaScript, PHP, Python, Scala, Java
Frameworks
Spring, Hadoop, React Native, Spark
Libraries/APIs
React, Tidyverse, PySpark, TensorFlow
Platforms
Magento, Ubuntu, Linux, MacOS
Storage
Apache Hive, Teradata
Other
Full-stack, Blockchain Development, Mobile App Development, Web Development, Front-end Development, Software Development, Machine Learning, Apache Superset
Tools
Git, Sublime Text, PyCharm, Superset, MATLAB
Paradigms
Agile
Education
Master of Science Degree in Mathematics
University of Illinois - Illinois
Bachelor of Science Degree in Mathematics
Arizona State University - Arizona
Certifications
Data Manipulation at Scale: Systems and Algorithms
Coursera
Neural Networks and Deep Learning
Coursera
Certification of Completion of Mathematics PhD Candidacy Examinations
University of Illinois
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
Share your needs
Choose your talent
Start your risk-free talent trial
Top talent is in high demand.
Start hiring