Srikanth Jula

I'm a 2023 qualified and professional Graduate from JNTUH University College of Engineering Manthani ,with strong creative and Analytical skills. Intend to build a career in Statistical Programming with commitment and dedication, willing to work as a key player in challenging and creative Environment. 📌Skilled in Clinical SAS programming with expertise in : •Proficient in SAS programming with good knowledge of BASE SAS, SAS SQL, and SAS Macros. •Knowledge in data manipulation using character functions, numeric functions, nested functions, and data type transformations. •Expertise in stacking and merging SAS datasets for seamless data integration. •Skilled in reducing programmer intervention and enhancing program flexibility through SAS Macros. •Hands-on experience with SAS procedures: PROC SORT, PROC FORMAT, PROC MEANS, PROC FREQ, PROC TRANSPOSE, PROC REPORT, and PROC SQL. 📌Basic Knowledge in R Programming with expertise in: •R Programming: Proficient in using R for data analysis and manipulation. •R Packages: understanding of packages including stringr, dplyr, tidyverse, tidyr, lubridate, hms, Hmisc, and heaven. •String Manipulation: Expertise in functions like str_squish, str_detect, str_locate, and str_to_lower for handling and cleaning text data. •Data Manipulation: Skilled in subsetting and filtering data using filter () and select (). •Data Transformation: Proficient in using mutate () to create new variables. •Conditional Statements: Well-versed in using if_else () and case_when () for conditional data processing. •Data Cleaning: Knowledge of functions like trimws() to remove unwanted spaces from text data. 📌CDISC Standards & Clinical Data: •Good understand of clinical trials (I, II, III, and IV phases) in various therapeutic areas and clinical terminology. •Knowledge in creating SDTM datasets and mapping domains including DM, AE, EX and VS. •Knowledge in ADAM specifications, with involvement in developing datasets such as ADSL, ADAE and ADVS. •Involved in writing SAS programs based on Statistical Analysis Plan (SAP) using SAS tools to generate statistical reports, listings, and tables for analysis of clinical data. 📌TECHNICAL SKILLS : • Programming Languages: Statistical Analysis System (SAS) & R Programming. • SAS Tools: SAS/BASE, SAS/SQL, SAS/MACROS • Soft Skills: Communication, Teamwork, Problem-Solving, Adaptability, Time Management. Let's connect and explore how I can add value to your organization!