Xuan (Alex) Liu

Data Scientist

Sunnyvale, California, United States18 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in statistical modeling and predictive analytics.
Proven track record in user behavior analysis.
Strong collaboration skills with multidisciplinary teams.

Stackforce AI infers this person is a Data Scientist specializing in statistical analysis and marketing research.

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Skills

Core Skills

Statistical ModelingData AnalysisBayesian StatisticsExperimental DesignAnalytics

Other Skills

RPythonSASA/B TestingPredictive ModelingLogistic RegressionEye TrackingQuantitative ResearchANOVAFactor AnalysisPropensity Score MatchingROI EstimationImpact AnalysisContent MarketingSocial Media Marketing

About

● In-depth knowledge of statistical modeling, regression analysis, A/B testing, experimental design, hypothesis testing, predictive modeling, Bayesian statistics, time series analysis, quantitative marketing analysis, online advertising, content marketing, social media marketing ● Expertise programming in R, Python, SAS and SQL/Hive. ● Excellent communication and collaboration skills with multidisciplinary researchers

Experience

18 yrs 5 mos

Total Experience

9 yrs 2 mos

Average Tenure

10 yrs 10 mos

Current Experience

Netflix

Senior Data Scientist

Aug 2015 – Present · 10 yrs 10 mos · Los Gatos

● Perform data exploration on user behavior and lead the research on relationships between messaging secondary metrics and key user engagement metrics.
● Develop new experimentation methods and partner closely with Product Management leadership to design experiments that drive key product decisions.
● Use statistical methods to analyze A/B testing results. Present insights to all levels of the company and discover future testing opportunities.
● Build predictive models of user behavior in order to optimize customer acquisition and retention and sharpen or speed up decision-making.

RPythonSASStatistical ModelingA/B TestingPredictive Modeling+1

Facebook

Ads Measurement Intern, Monetization Analytics

Jun 2013 – Aug 2013 · 2 mos · Menlo Park

● Apply propensity score matching with improved covariate balancing to measure Telco campaign effectiveness.
● Develop and implement pipelines to identify mobile device ownership, resulting in 42% reduction in error rate.
● Estimate ROI from clicky vs. non-clicky users and compare the effectiveness of mobile and web campaigns.
● Investigate Nielsen Online Campaign Rating (OCR) reach studies on age groups and conduct impact analysis.

Propensity Score MatchingROI EstimationImpact AnalysisAnalyticsData Analysis

University of maryland

2 roles

Ph.D. Student in Applied Statistics

Promoted

Sep 2009 – May 2015 · 5 yrs 8 mos

● Design a web-based Face-Tracking study to investigate viewer’s real-time emotional responses to comedy movie trailers. Develop Bayesian Joint models to predict consumer’s watching intention and box-office success.
● Conduct Eye-Tracking experiments and develop Bayesian ANOVA models to examine the effects of models’ facial cues on viewers’ attention to online shopping advertisements.
● Predict CTR of Twitter and LucidMedia online ads using logistic regression and support vector machine (SVM).
● Predict final price in eBay online auctions using nonparametric and semiparametric generalized additive models.

Bayesian statisticsLogistic RegressionEye TrackingExperimental DesignQuantitative Research