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Yuqi Sun

Research Assistant

Machine Learning Manager; Data Science Manager; Growth Hacker

United States

Section title

Yuqi Sun's Email Addresses & Phone Numbers

Yuqi Sun's Work Experience

Optimization Lab in Pennsylvania State University

Research Assistant

2011 to 2015

Dropbox

Manager of Machine Learning and Data Science

San Francisco Bay Area

Microsoft

Senior Applied Scientist, Tech Lead Manager - Cloud & AI, Power BI

2016 to 2019

Redmond, WA

Yuqi Sun's Education

University of Science and Technology of China

Bachelor's Degree, Applied Mathematics and Statistics

Penn State University

Doctor of Philosophy (Ph.D.), Machine Learning, Optimization

Yuqi Sun's Professional Skills Radar Chart

Based on our findings, Yuqi Sun is ...

Realistic
Critical
Forward-thinking

What's on Yuqi Sun's mind?

Based on our findings, Yuqi Sun is ...

52% Left Brained
48% Right Brained

Yuqi Sun's Estimated Salary Range

About Yuqi Sun's Current Company

Optimization Lab in Pennsylvania State University

My research area is Optimization Algorithms in Machine Learning (stochastic gradient descent, first order method, additive learning, graphical lasso)

Frequently Asked Questions about Yuqi Sun

What company does Yuqi Sun work for?

Yuqi Sun works for Optimization Lab in Pennsylvania State University


What is Yuqi Sun's role at Optimization Lab in Pennsylvania State University?

Yuqi Sun is Research Assistant


What is Yuqi Sun's personal email address?

Yuqi Sun's personal email address is yu****[email protected]


What is Yuqi Sun's business email address?

Yuqi Sun's business email address is y****[email protected]


What is Yuqi Sun's Phone Number?

Yuqi Sun's phone (***) ***-*418


Who are Yuqi Sun's colleagues?

Yuqi Sun's colleagues are Ashley Amon, Kyle Shay, Caroline Bontia, Francesco Paduano, Pankhudi Sinha, Andrew Drake, Ben Glenn, Adam Smith, Gary J., and Jordan Kessler


About Yuqi Sun

📖 Summary

Research Assistant @ Optimization Lab in Pennsylvania State University My research area is Optimization Algorithms in Machine Learning (stochastic gradient descent, first order method, additive learning, graphical lasso) From 2011 to 2015 (4 years) Manager of Machine Learning and Data Science @ Dropbox 1. lead a team of data scientist and machine learning engineer focusing on Dropbox and HelloSign product growth and monetization: new user acquisition, personalized onboarding experience, user activation, monetization and retention, user segmentation and 3rd party app recommendation. We own end-to-end machine learning pipeline and solution.2. my team owns the Dropbox personalization on new user onboarding and SKU recommendation.3. my team owns the /plan SKU recommendation.4. my team owns 3rd party app recommendation in Dropbox.5. leverage machine learning to drive growth of Dropbox products (650+ millions users). 6. Machine learning algorithm: supervised learning (Random Forest, XGBoost, lightGBM, Stacking, Voting, KNN, Regression); unsupervised learning (K-means ++, DBSCAN, Birch, GMM) ; graph & network (Bayesian network, page-rank); recommendation (collaborative filter, learning to rank, deep and wide learning) 7. Programming: Python, PySpark, SQL8. Tools: AWS, Hadoop, Hive, Snowflake, Redshift, Airflow, Spark, Tableau, Superset San Francisco Bay AreaSenior Applied Scientist, Tech Lead Manager - Cloud & AI, Power BI @ Microsoft 1. First data & applied scientist in Power BI, founding member of Power BI data science team. Growth Hacking on Microsoft Power BI products (50+ millions users). 2. Build and own machine learning models across user end to end journey and AARRR funnel: new user acquisition, user churn prediction, user/tenant segmentation, virus growth, payment prediction, user engagement. 3. Build and own machine learning models on customer satisfaction: NPS, sentiment analysis, text classification, topic model.4. Machine learning algorithm: supervised learning (Random Forest, XGBoost, lightGBM, Stacking, Voting, KNN, Regression); unsupervised learning (K-means ++, DBSCAN, Birch, GMM) ; graph & network (Bayesian network, page-rank); NLP 5. Programming: Python, C#, C++6. Tools: Azure, MS SQL, Power BI From 2016 to 2019 (3 years) Redmond, WAMachine Learning Engineer, Artificial Intelligence Department @ McKinsey & Company 1. research state-of-art machine learning algorithms and apply to AI product.2. responsible for the predictive service in AI product to automatically analyze customer's behavior, predict performance and behavior of customer retention, engagement, collections and sales.3. Programming: Python, C++;4. Tool: Hadoop, Spark, AWS, MySQL; From 2015 to 2016 (1 year) Washington D.C. Metro Area


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In a nutshell

Yuqi Sun's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

2 year(s), 8 month(s)

Yuqi Sun's Willingness to Change Jobs

Unlikely

Likely

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Yuqi Sun's Social Media Links

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