Zhiyang Zhang

• Participated in summer research internship program and engaged in research projects including Research on the Estimation and Prediction the COVID-19 Infections Project and Protein Estimation Analysis Project
• Supported other tasks as assigned

Medical Consulting Intern(PTA)

• Participated in the project of Innovative Payment Strategies for Commercial Prescription Drug Insurance Plans
• Searched information and summarized the requirements of drugs covered by the health insurance plan
• Explored the payment mechanism of the three key companies having partnerships with pharmaceutical companies, and researched the trend of innovative payment models for commercial prescription drug insurance plans
• Conducted competitor analysis, carried out market research and delivered the presentation
• Translated documents and finished other tasks as assigned

• Created customized applications to make critical predictions and decisions for breast cancer by researching the detailed data from authorized dataset.
• Implemented rigorous validation procedures to ensure the generalizability of machine learning models.
• Applied variance machine learning models such as Decision Tree and SVM to compare performance metrics.
• Refined multiple parameters to ensure all the models have at least 90% accuracy in the project.

Research on the Estimation and Prediction of the COVID-19 Infections Project San Diego, CA

Team Leader

• Communicated and negotiated with Centers for Disease Control and Prevention
• Acquired updated data on the cumulative number of laboratory-confirmed cases for COVID-19 for academic research purposes from CDC including sex, age group, race and Hispanic origin and places
• Engaged data analysis with Matlab and assessed the likelihood of contracting COVID-19 disease based on a predictive tree model and machine learning techniques
• Organized and presented analysis report with 20 pages PPT slides
• Awarded as the excellent group project

Protein Estimation Analysis Project San Diego, CA

Team Member

• Prepared different solutions with proteins that contain colored prosthetic groups, performed experiments with Spectrophotometric, collected data such as wavelength and protein concentration
• Used Matlab to build and analyze the dataset with Matlab combining linear regression and Artificial Neural Network
• Measured and predicted the concentration of a purified protein in a solution with machine learning

Consulting Industry Research and Analysis Practice Boot Camp

Trainee

• Carried out the feasibility research on smartphone market combining with benchmark analysis and PEST model
• Familiarized with the overall development of consulting industry and learned the necessary professional knowledge and practical skills for consulting projects
• Engaged in cases studies, explored business models, data analysis and integration and masted desk research skills and report writing