Ravi Chelluboina

To leverage over 3+ years of expertise in SAS programming and data warehousing to contribute effectively to data driven decision-making processes. Proficient in Base SAS, SAS/SQL, and SAS/MACRO, with a strong background in administrative tasks and advanced SAS techniques.

 Over 3+ years of experience in SAS programming with extensive experience in data warehousing.Proficiency in Base SAS, SAS/SQL, SAS/MACRO, SAS/ODS, SAS/Graph, and SAS/Access.  Strong expertise in SAS Programming, including data steps, custom functions, macro functions, macro variables, and advanced SAS techniques. Performed administrative tasks such as creating users, groups, roles, moving content from one server to another, registering libraries for RDBMS, registering metadata for tables, scheduling jobs, creating projects, and managing custom repositories. • In-depth understanding of trial-related documents (Protocol, eCRF) and familiarity with CDISC SDTM v3.2 standards. • Proficient in working with SDTM domains (DM, SV, CM, EX, AE, DS) and creating ADaM datasets (ADSL). • Quick learner, self-motivated, and able to work as an individual contributor. • Excellent analytical, interpersonal, and communication skills, with experience in interacting with clients and multiple user groups.

• Over 3+ years of experience in SAS programming with extensive experience in data warehousing. • Proficiency in Base SAS, SAS/SQL, SAS/MACRO, SAS/ODS, SAS/Graph, and SAS/Access. • Strong expertise in SAS Programming, including data steps, custom functions, macro functions, macro variables, and advanced SAS techniques. • Performed administrative tasks such as creating users, groups, roles, moving content from one server to another, registering libraries for RDBMS, registering metadata for tables, scheduling jobs, creating projects, and managing custom repositories. • In-depth understanding of trial-related documents (Protocol, eCRF) and familiarity with CDISC SDTM v3.2 standards. • Proficient in working with SDTM domains (DM, SV, CM, EX, AE, DS) and creating ADaM datasets (ADSL). • Quick learner, self-motivated, and able to work as an individual contributor. • Excellent analytical, interpersonal, and communication skills, with experience in interacting with clients and multiple user groups.