Develop product master data matching system.Utilize advanced Microsoft Excel to interpret data and create multiple reports.Work closely with the image recognition team to provide updating master data for clients.

Gene mutation associate with local control in Gastrointestinal cancer. Used clustering algorithms in R to cluster samples and fitted survival models. A multiple testing correction applied to control the false discovery rate.

Used machine learning technique, random survival forest, to predict cardiovascular outcomes in comparison to standard cardiovascular risk scores. Used R and SAS to build classification and boosted trees to create a predictive model. The predictive model can determine disease risks, predicted outcomes, and identify biomarkers in epidemiological studies and clinical trials. The result suggested machine learning methods are well suited for risk prediction in large-scale epidemiological studies.

Interpreted data, analyzed results used statistical techniques. Developed and implemented data analyses, data collection systems. With our models, the sales increased by 6% in the coming quarter.

• Ran statistical analysis and calculated the average income for residents based on different categories.• Used the big data such as a city’s population, and extracted observations/challenges for each district.• Provided best practices accordingly to guide the community workers for 2018-2019 work planning.