Ping Wang

Bethlehem, PA 984-***-**** ad3g62@r.postjobfree.com

SUMMARY

• 3 years’ working experience in consulting industry with great communication, client engagement, analytics, and project management skills

• Detail-oriented data analyst with comprehensive understanding of data processing, data analysis and visualization

• Familiar with various Cloud data platforms including AWS, Snowflake

• 3 years’ experience with Database management and SQL

• 3 years’ experience with statistical models, data mining, with R, SAS, and Python

• 1 year of experience with Machine Learning using Python

• Certified Advanced Programmer for SAS 9

EDUCATION

08/2019- 12/2021 M.S. in Computer Science East Carolina University 08/2016-05/2018 M.A. in Statistics University of North Carolina at Greensboro 08/2007-06/2011 B.S in Biological Sciences Yangzhou University, China WORK EXPERIENCES

Cobbs Creek Healthcare Newtown Square, PA

Senior Analyst – Advanced Analytics 07/2021-present

• Supported insights generation and forecasting for pharmaceutical products o Defined patient journey, created line of therapy table to understand market share and opportunity o Created physician and account segments for targeting o Developed user-friendly report and KPI dashboard for product performance tracking

• Developed statistical modeling to support strategic decision-making o Conducted test/control analysis to measure campaign impact o Supported mix modeling analysis to evaluate physicians’ promotional responsiveness

• Managed multiple projects

o Engaged with client from hypothesis formation, data selection, methodology development to resource allocation, timeline management and final presentation

• Trained 3 new team members

o Provided background information, data introductions, guidance of business rules and programming details Duke University Medical Center Durham, NC

Research technician II 05/2019-06/2020

• Conduct Bio-molecular experiments, update results using Numbers and Google sheets, weekly presentation.

• Manage mouse model data, tumor data, and transgene data; track transgene data by building regression models.

• Lab management

Xinghai Experimental Middle School Suzhou, China

Biology Teacher 08/2011-07/2015

PROJECTS

St Luke’s hospital Easton, PA

Continuing medical education data evaluation using Python

• Extracting yearly data from continuing medical education conferences dataset with 439,000 data records

• Descriptively analyzing and visualizing survey results to evaluate the yearly conferences. East Carolina University Greenville, NC

Estimation of spine location of patients in surgical procedures using machine learning algorithms using Python

• Building regression models using machine learning algorithms to predict location and rotation of patients’ spine.

• Conducting extreme event split method using Streaming-Peaks-Over-Threshold algorithm University of North Carolina at Greensboro Greensboro, NC Estimation of the probability of being diagnosed as having Nephritis using R

• Building a logistic regression model to estimate the probability of having nephritis for patients

• Conducting Chi-square tests to check the association between nephritis and related symptoms Survival analysis for PBC (Primary Biliary Cirrhosis disease) using SAS

• Test the effect of the drug treatment

• Building a Cox regression model to evaluate possible facts that affect patients’ survival time Cone Health Greensboro, NC

Consulting on project “Knowledge and Competency of Coudé Catheter Insertion on the Alamance Regional Medical Center (ARMC) Campus” using R and SPSS

• Constructing Kruskal–Wallis tests to evaluate the effect of the implementation of a competency model and compare the confidence of nurses before and after intervention using R and SPSS

• Won People’s Choice Award, Nursing Research, Evidence-Based practice and Quality Symposium PUBLICATIONS

Ma Z*, Wang P*, Gao Z, Wang R, Khalighi K. Ensemble of Machine Learning Algorithms Using the Stacked Generalization Approach to Estimate the Warfarin Dose. PLoS One. 2018 Oct 19;13(10):e0205872. Ma Z, Cheng G, Wang P, Khalighi B, Khalighi K. Clinical model for predicting warfarin sensitivity. Scientific reports. 2019 Sep 6;9(1):1-9.