A critical thinker who wants to connect the dots using data-driven solutions
| Montana State University |
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| Fujian Agriculture Forestry University |
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| Pi Mu Epsilon (Math Honor Society) |
04/17
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| Graduate with the Highest Honor |
04/17
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| • Completed graduate level statistics courses on sampling, experimental design, probability theory |
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| • Completed data science courses on DataCamp and Coursera |
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| • Fluent in Chinese |
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| the Refugee Center Online · Data Science Consultant |
11/17 - 08/18
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| Portland, OR |
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Data Analyst · Google LLC ·
Sunnyvale, CA
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07/18 - Present
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- Lead and manage multiple analysis tasks for risk assessment across several products at Google
- Develop workflows and dashboards for teams to daily monitor unexpected behavior such as fraud detection, data policy violation and etc
- Interact with several Google core systems to create metrics to support several audits
- Built advanced analytical tools for auditors to enable them to do statistical sampling or visualize text data using one click button
- Host data trainings to give auditors capability of working with data independently and understanding of some common statistical learning method
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Data Scientist · CityBldr ·
Seattle, WA
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10/17 - 06/18
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- Leading project on translating unstructured information into interpretable features for CityBldr's machine learning pipeline using NLP techniques such as Naive Bayes and Topic Modeling
- Developing comprehensive model of each city’s unique development infrastructure by combining data from various sources (the only one in the data science team to build and implement the project pipeline)
- Scraped and stored real estate/GIS data using web scraping, SQL and QGIS
- Pulling insights using multivariate data analysis to inform company strategy and public communication messages, and presenting results to engineering, project management and sales teams
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Statistical Consultant · Montana State University ·
Bozeman, MT
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01/17 - 08/17
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- Helped researchers identify patterns in antibody profiles by performing hierarchical cluster analysis, and applied a chi-squared test to compare these patterns to the antibody profiles
- Presented Monte Carlo simulation of African lion population sampling to ecology researcher using R shiny
- Summarized project status and provided feedback to consultants and clients
| Improving a Predictive Model of Student Progress by Adding Learned Features from Unstructured Text Data |
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Applying mixed effects logistic regression approach and investigating NLP methods to derive additional features from unstructured text responses.
| Financial Health of United States Banks in 2016 |
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Used k‐means cluster analysis in R to study patterns of financial health; found failed banks were all in one cluster.
| Study and Analysis of Household Wi‐Fi Speed |
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Designed balanced 3‐factor factorial experiment; collected data; used three‐way ANOVA and orthogonal contrast test in SAS.
| Algorithms for Climate Data Sonification |
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Built generalized additive model for temperature data; created R algorithm to see if sonification can enhance understanding.
| Analysis of Website Traffic Data |
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Used Google Analytics API for traffic data; applied ANOVA F‐Test and Tukey‐Kramer test to find optimal maintenance days.
| Conditional Probability and Information Retrieval |
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Explained how to use conditional probability to solve a particular problem in the field of information retrieval.