Qianqian Shan
Machine Learning Engineer at Calendly
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolQianqian Shan is a Machine Learning Engineer based in Seattle with 10 years of experience blending academic rigor and production ML at scale. She holds a Ph.D. in Statistics from Iowa State University and has applied that expertise at Amazon to build recommender systems, deep learning models for EC2 predictive autoscaling, and time-series demand forecasting that saved millions in CapEx. Her work spans large-scale data pipelines (100+ TB/day), online experimentation driving billions in revenue, and practical model deployment—skills she now brings to Calendly. Comfortable in Python, Java, and C, she pairs strong research chops with product-focused engineering and a track record of reproducible, statistically sound solutions. An instructor-turned-practitioner, she also has hands-on experience in warranty prediction and risk-model automation, reflecting a knack for turning complex statistics into robust business impact.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at Iowa State University
Stackoverflow
1reputation
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Github Skills (14)
facade10
health10
software-design9
sustainability9
data-modeling9
linux8
data-collection8
unix8
python7
data-visualization7
git6
open-source6
monitoring6
github6
Programming languages (2)
Github contributions (5)
QianqianShan/Algorithms_and_data_structure
Mar 2019 - Sep 2019
Contributions:105 commits, 56 pushes, 1 branch in 6 months
QianqianShan/RSpice
Oct 2018 - Jan 2019
Contributions:35 commits, 8 pushes in 3 months
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