Taihua's Curriculum Vitae

Industry

Senior Manager, Discover Financial Services (DFS), Chicago, IL

5% Cashback Bonus program optimization
Balance Transfer program optimization

April 2023 - Current

Senior Data Scientist (Tech Lead), Amazon Web Services (AWS), Chicago, IL

NHL Opportunity Analysis launch
HBO MAX recommender system launch
Seattle Seahawks PPE detection launch
McKinsey & Co. Cloud MLOps launch
Broadridge ICS smart proxy card processing engine launch
CCCIS MLOps enablement

October 2019 - April 2023

Data Scientist II, CCC Information Services, Chicago, IL

June 2017 - October 2019

Lead Data Science Instructor, General Assembly, Chicago, IL

Lead instructor for the April'19 cohort

April 2019 - June 2019

Academia

Informatics Researcher, Yale University School of Medicine, New Haven, CT

Coronary microvascular dysfunction using EHR
Suicide risk detection using Twitter data

March 2017 - September 2018

Data Scientist, Digital Youth Network, Chicago, IL

STEM interests cultivation using recommender system

December 2015 - June 2017

Publications

Jerry Peng, Gayatri Ghanakota, Taihua Li, Dewen Qi, and Rupinder Grewal. "ew features for Amazon SageMaker Pipelines and the Amazon SageMaker SDK". AWS Machine Learning Blog, 2022. blog
Pranati Sahu, Surya Dulla, Jin Fei, Han Man, Kareem Williams, Taihua Li, and Rohit Rangnekar. "Accelerating the deployment of PPE detection solution to comply with safety guidelines". AWS Machine Learning Blog, 2021. blog
Taihua Li. "Building a customized recommender system in Amazon SageMaker." AWS Machine Learning Blog, 2020. blog
Samah Fodeh, Taihua Li, Kevin Menczynski, Tedd Burgette, Andrew Harris, Georgeta Ilita, Satyan Rao, Jonathan Gemmell, Daniela Raicu. "Using Machine Learning Algorithms to Detect Suicide Risk Factors on Twitter." In 2019 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 941-948. IEEE, 2019. pdf
Fodeh, Samah, Taihua Li, Haya Jarad, and Basmah Safdar. "Classification of Patients with Coronary Microvascular Dysfunction." IEEE/ACM transactions on computational biology and bioinformatics, 2019. pdf
Fodeh, Samah, Taihua Li, Haya Jarad, and Basmah Safdar. "Identifying Patients with Coronary Microvascular Dysfunction using Machine Learning." In 2018 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 715-721. IEEE, 2018. pdf
Bishara, Sarah, Jennifer Baltes, Taha Hamid, Taihua Li, Denise C. Nacu, Caitlin K Martin, Jonathan Gemmell, Chris MacArthur, Daniela Raicu, and Nichole Pinkard. "Revealing Interaction Patterns Among Youth in an Online Social Learning Network Using Markov Chain Principles." Philadelphia, PA: International Society of the Learning Sciences, 2017. pdf
Nacu, Denise C., Caitlin K. Martin, Nichole Pinkard, Taha Hamid, Taihua Li, Daniela Stan Raicu, and Jonathan Gemmell. "Helping educators leverage youth interest in STEM out-of-school programs." In 2016 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT), pp. 1-1. IEEE, 2016. pdf
Hamid, Taha, Denise C. Nacu, Taihua Li, Jonathan Gemmell, Daniela Stan Raicu, Caitlin K. Martin, Michael Schutzenhofer, and Nichole Pinkard. "Recommender system to support brokering of youth learning opportunities." In 2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops (WIW), pp. 64-65. IEEE, 2016. pdf

Education & Credentials

Credential of Readiness (CORe), Pass With Honors, Harvard Business School Online, Online certificate

Deep Learning Specialization, deeplearning.ai, Online certificate

M.S. in Predictive Analytics, With Honor, DePaul University, Chicago, IL

B.A. in Economics, Magna Cum Laude, Ripon College, Ripon, WI

B.A. in Business Management, Magna Cum Laude, Ripon College, Ripon, WI