Abinish Kumar

Results-oriented Research Analyst with 6.1 years of experience, including 3.6 years specializing in Base SAS, Advanced SAS, and statistical analysis. Exhibits expertise in conducting complex data analysis and reporting, driving data-informed decision-making within banking sector.

Credit card data analysis and spend analysis

• Importing the data shared by the client into SAS for analysis and then exporting the desired reports after the analysis
• Interpreting, analyzing, and reconciling data obtained from a variety of sources
• Analyze the lead data to understand the monthly expenditure amount of the customers, and do customer segmentation
• Fetching the data from different data sources, cleaning, and summarizing the data using SAS and SQL
• Using SET, MERGE, JOIN, and SORT techniques, and combine the datasets
• Extensive use of PROC SQL, PROC PRINT, PROC SORT, PROC FREQ, PROC MEANS, PROC SGPLOT, PROC GCHART, and PROC FORMAT to perform analysis of the datasets
• Using INDEX, SCAN, COMPRESS, PUT, INPUT, SUBSTR, CASE, LENGTH, INTCK, MISSING, MONOTONIC, SYSFUNC, YEAR FUNCTION, etc., to transform data
• Generate reports either in HTML, EXCEL, CSV, PDF, or RTF formats according to the client specifications

SRP (Sample Run of Production)

• A sample of the entire code is selected with the help of the global option obs
• Code is run end to end during the testing environment to encounter the errors
• Debugging the code for errors and resolving it in the testing environment
• Obs Max global option is used to fetch the complete observations during the production phase