Ting Neo
Staff Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolTing Neo is a Staff Data Scientist in San Francisco with a decade of experience building production machine learning systems and analytics-driven products across fintech and marketplace domains. With roots in actuarial science and a Wharton economics background, she blends rigorous risk modeling and statistical discipline with modern ML practices to solve underwriting, fraud detection, and merchant recommendation problems. At Capital One she led model development for small business card underwriting and fraud, and at Faire she progressed from senior to staff data scientist driving data productization. She is tenacious, curious, and comfortable bridging technical implementation, stakeholder needs, and operational constraints to deliver measurable business impact. Beyond typical ML work, her early career in actuarial consulting and a project portfolio that includes computer vision and NLP signal a rare mix of domain depth and hands-on experimentation.
10 years of coding experience
14 years of employment as a software developer
Chinese International School | 漢基國際學校Bachelor’s Degree Economics with Concentrations in Finance and Actuarial Science, Bachelor’s Degree Economics with Concentrations in Finance and Actuarial Science at The Wharton School
English, Chinese, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
statistics10
use-case10
svm-classifier10
data-science9
python9
claims9
data-analysis9
machine-learning9
scikit-learn8
scikit8
convolution7
deep-learning6
Programming languages (2)
Github contributions (5)
neokt/car-damage-detective
Feb 2017 - Dec 2017
Assessing car damage with convolution neural networks for a personal auto claims expedition use case
Contributions:5 commits, 4 pushes, 1 branch in 10 months
svm-classifierdeep-learningmachinelearningconvolutiondamage
neokt/audio-music-mood-classification
Nov 2016 - Feb 2017
Contributions:6 commits, 2 pushes, 1 branch in 3 months
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