Spearhead large-scale data quality control efforts (500,000+ records) using SAS, ensuring accuracy efficiency, and compliance in examination data systems Develop automated reporting workflows with self-written macros, enhancing productivity and reproducibility across teams Improved proficiency and readability of the program, then documented the whole workflow for better regulatory-compliant. Lead multiple overlapping data projects from planning to execution demonstrating strong multitasking, timeline management, and cross-functional communication Translate complex data into stakeholder-facing reports and standardized outputs, combining technical expertise with clear documentation practices aligned with regulatory expectations.

Developed CDISC-compliant Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM datasets based on study protocols to support FDA submissions Implemented variable derivations and source-to-target mapping logic based on detailed Mapping Specifications, supporting Define.xml generation and traceability. Created and validated Tables, Listings, and Figures (TLFs) based on SAP, and built reusable SAS macros to streamline production workflows Conducted rigorous QC and data validat bility, and compliance across al deliverable

Served as statisti ntributing to manuscripts and conference outputs Analyzed high-dimensional datasets (400+ variables) in SAS and R, applying methods such as LASS0 correlation, and regression models Built and maintained a REDCap database to streamline data capture and analysis

ctional study on eye health, analyzing data from 2,000+ patients Supported a large cohort and cross-s Applied univariate and multivariate logistic regression to evaluate associations between ocular parameters and disease outcomes Co-autboreda peer-reyviewed publicationin Acta Ophthglmologicc