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
McKinsey & Company
Machine Learning Engineer, Artificial Intelligence Department
2015 to 2016
Washington D.C. Metro Area
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About Yuqi Sun's Current Company
Optimization Lab in Pennsylvania State UniversityMy research area is Optimization Algorithms in Machine Learning (stochastic gradient descent, first order method, additive learning, graphical lasso) 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
Yuqi Sun’s Personal Email Address, Business Email, and Phone Number
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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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