kripa shankar

 Data management skills like Merging, Handling missing values, Reading Raw data files, creating data structures, Handling programming errors, Accessing and Managing data, Appending, Concatenating, and Interleaving of SAS datasets.  SAS/ BASE, SAS/MACRO, SAS/SQL, SAS/ACCESS and SAS/ODS (RTF, PDF, EXCEL, XML) procedures.  Usage of SAS/MACRO for creating macro variables, macro programs and Auto call macro library to modify existing SAS program for ease of modification while maintaining consistency of result.  Comprehensive prepared report using SAS report generating procedures like PROC PRINT, PROC REPORT, PROC TABULATE, PROC FREQ, PROC MEANS and PROC TRANSPOSE.  Data Merging , Data Sub setting with use of MERGE and SET statements