Carnegie Mellon University

University of Washington

Data Scientist at Microsoft  -  #GHC'20

Greater Seattle Area

Microsoft

Data Scientist

- Develop supervised and unsupervised machine learnings (Random Forest, SVM, Hierarchical Clustering, PCA etc.), and advanced statistical models (Regressions Models, Time Series, Survival Analysis, etc.) to interpret complex data to guide and influence people and business decisions
-  Lead research/analytics and collaborate with stakeholders across Twitter in the areas of attrition analysis, productivity modeling, workforce planning, employee engagement/assessment, performance, and behaviors
-  Establish Natural Language Processing Frameworks to get insights from unstructured text data
-  Collaborate with IT and stakeholders to create ETL pipeline
-  Build interactive Tableau dashboards to present meaningful visualizations for better story telling
-  Spoke at conferences for branding and networking
-  Reduced attrition rate from 25% to 9%

Twitter

- Performed Monte Carlo simulations and Logistic Regression to access the performance of Instrumental Variable, Propensity Score Matching, Stratification and Covariate Adjustment to estimate marginal odds ratio
- Applied Survival Analysis, Cox Proportional Hazards Model , Log Rank Test , Relative Risk Test to predict intestine graft donor risk index
- Investigated complications situations of total kidney volume growth and renal decline
- Determined how identifiable exposure to the weak spot is independently associated with specific adverse events that NH clinicians perceive could occur as a result of exposure

University of Pittsburgh

Statistician

Hold office hours and grade for statistic courses “Statistical Reasoning and Practice”,  “Engineering Statistics and Quality Control” and “Statistics for Lab Sciences”

Teaching Assistant

- Quantified the amount and probability of investment risks and potential loss of asset portfolio with the VaR (Value at Risk) model
- Derived the variance, standard deviation and covariance from historical datasets

HWABAO SECURITIES

Data Analyst

Studied the financial product portfolio design, analyzed its future earnings with statistical methods, assisted in data collection, consolidation, organization, and processed into summary reports

Menghan Chen