Siva Sravani Ponukupati

Detail-oriented clinical data specialist with 4 years of experience in data anonymization for regulatory submissions, combined with hands-on training in SDTM programming and TLF development using SAS. Proficient in applying CDISC principles, handling sensitive clinical information, and building robust workflows to protect privacy while ensuring data integrity. Demonstrates strong analytical skills, a deep understanding of trial structures, and a commitment to learning and contributing to metadata-driven programming environments.

Core Skills :

SAS Programming: Base SAS, PROC SQL, Data Steps, Macros, formats , CDISC Standards: SDTM v3.2/v3.3, Controlled Terminology, Codelists
TLF Development: PROC REPORT, TABULATE, ODS RTF/PDF (Training-based)
Data Privacy: De-identification, pseudonymization, rule-based masking
Validation Tools: Pinnacle 21, OpenCDISC, Manual QC techniques(Training-based)
Excel Metadata Drivers: For mapping specs, column derivations, and traceability
Communication & Documentation: SOPs, anonymization plans,

Clinical SAS Programming – SDTM & TLF Development Training

• Hands-on creation of DM, AE, LB datasets using raw inputs and metadata sheets
• Generated demographics tables using PROC REPORT
  Validated Define.xml and dataset structure using Pinnacle 21 community.
  
  

• Date of Birth: 03/16/96
• Gender: Female
• Nationality: Indian
• Marital Status: Married

Confident enough to satiate your organization with outmost sincerity. The above information is true to the best of my knowledge and belief.