Ajit Kumar Email & Phone Number

 Data Science, Data Analysis, Market Research, Marketing Automation, Statistical & Predictive Analysis, Business Data Modelling & Mining, ETL SDLC Agile Sprint Scrum QA SQL SAS,SAS/SQL,SAS/Macro, Project Management, Product Management & System Analysis and Business Analysis: Interaction with client’s regarding their requirements through Client Requirement Meetings Meet with decision makers, other project stake holders, systems owners, and end users to define business requirements and systems goals, and identify and resolve business systems issues. Reviews client requirements, performs gap and/or impact analysis, and delegates as appropriate, data, foundation, and systems analysis in preparation for service-specific cloning and configuration with a focus on high-level and complex analysis. SAS Skill Matrix, Tools and Techniques Advanced knowledge of / experience with SAS and other relevant programming software. Proven experience in development of advanced MACROs with high programming efficiency; strong programming and problem-solving skills. Proven experience in leading programmer support for multiple clinical trials and submission activities (or equivalent) Expertise in SAS/BASE, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ACCESS, SAS/ODS, SAS/SQL. Skilled in SAS programming, merging SAS datasets, preparing data, producing and validating reports, SAS formats, and managing data. Working knowledge in using report generating procedures like PROC CONTENTS,PROC PRINT, PROC REPORT, PROC TABULATE, PROC FORMAT, PROC FREQ, PROC UNIVARIATE, PROC SUMMARY, PROC TRANSPOSE, PROC SGPLOT etc. Working knowledge of database design/structures and basic statistics. Working experience in pooling analysis datasets across multiple clinical studies (or equivalent). Good understanding of global clinical trial / project practices, procedures, methodologies. Good understanding of regulatory requirements relevant to statistical programming. Good knowledge of office tools.

Listed skills include Agile Methodologies, Project Management, Software Development, Java, and 46 others.