Alan Wang

Background

About Alan Wang

Subject Matter Expert: Deeply understand the process of claim and payment cycle in healthcare industry. Specialize on using large public and commercial medical/behavioral claims, pharmacy claims, lab results and payment information to analyze healthcare practices, identify high risk subgroups, and evaluate the impact on morbidity, quality of life, and healthcare costs. Payment Integrity Expert for overpayment and FWAE(fraud, Waste, Abuse and Error) detection. Seasoned Data Mining and Predictive Analytics Methods Scientist: Certified SEMMA Data Mining Expert. Proficiency with a wide range of classical and modern descriptive and predictive modeling algorithms and data mining techniques, including exploratory data analysis, generalized linear model, survival analysis, multivariate analysis, decision tree, association analysis, bagging and boosting, cluster analysis, text Analytics (unstructured data), social network analysis, Bayesian Analysis, deep learning (Word Embedding, CNN and RNN). Certified Six Sigma Green Belt and Professional Project Manager: Experienced project leader and Analytics Architect. Comfortable with matrix organizations. Software for Data Mining: SAS Enterprise Guide, Miner and SAS Viya, SAS NV workshop, SUDAAN, R, Python and H2O Tools for SQL: Aqua Data Studio, Aginity DBMS: Netezza, DB2, Oracle, MySQL, and Teradata Medical Classification Tools: Redbook (NDC), ICD-9-CM, ICD-10-CM, ICD-10-PCS, CPT/HCPCS, LOINC, and DRG Commercial Claim data​: MarketScan, Optum/UHG Life Sciences (i3) and Payment Integrity data. Medicare/Medicaid Claims Data​: 5% CMS Medicare (Part A, B and D), 100% ESRD, plus commercial Medicare/Medicaid data Registration Data​: Scientific Registry of Transplant Recipients (SRTR) Survey Data​: MCBS and NCHS Surveys (NHANES, NHIS, and NHAMCS, etc.)