Yali Wan

Role: Sr Applied Scientist at Amazon
Location: San Francisco, CA, US
LinkedIn followers: 500 followers

EngineeringView LinkedIn profile

Experience

Sr Applied Scientist
Amazon
Oct 2017 — Present
I work on creating personalized ads shopper experience and CTR/CVR modeling through state of art machine learning techniques

Education

Nanjing University
Bachelor of Science (B.Sc.), Mathematical Statistics and Probability
2008 — 2012
University of Washington
Doctor of Philosophy (Ph.D.), Statistics
2012 — 2017

Skills

R
Teaching
English
Regression Models
Data Analysis
Matlab
Maple
Quantitative Analytics
Java
Experimental Design
Optimization
Vim
Monte Carlo Simulation
Algorithms
Big Data
Spectral Clustering
C++
Python
Time Series Analysis
Machine Learning
Mathematical Modeling
Logistic Regression
Statistics
Statistical Consulting
Research
Bayesian Statistics
Spss
Latex
Probability
Linux
Data Visualization
Social Network Analysis
Applied Mathematics
Data Mining

Contact information

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•••••@amazon.com
Personal email
•••••@•••••.com
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Current company

Amazon

Software Development · 10K employees · 2127 7th Ave., Seattle, WA, 98109, US

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

amazon.com

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Experience

Sr Applied Scientist

Education

Nanjing University

University of Washington

Skills

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