Well experienced mainframe professional. Data Science enthusiast with specialist courses completed on Big Data Analytics, AI & Machine learning and looking for an opportunity to transition into Data science and have passion in learning new technologies
Statistical Methods - Hypothesis Testing, ANOVA, PCA, Exploratory Data Analysis
Machine Learning - Regression, Classification,Clustering(KMeans and Hierarchical), Recommendation systems
Deep Learning - Neural Networks, CNN, Transfer learning, Computer Vision, Natural Language Processing
Language - Python,COBOL, REXX, Base SAS, JCL and IBM utilities, DB2, SQL, Hadoop basics
Libraries - Numpy, Pandas, Seaborn, Matplotlib, Scipy,SKLearn, Tensorflow,OpenCV,
Platform Optimization - Developer/Team Member
September, 2013 – April, 2015
In the project, we analyzed the performance of Mainframe applications and optimized the CPU resource consumed by the Mainframe applications for CITI bank. We created reports to identify the MIPS consumption of modules and worked to tune the modules. Created and modified COBOL modules.
· Created REXX tools to reduce repeated work
· Extracted data from SMF and formatted it using SAS code provided by MXG, a third-party vendor
Skills and Tools COBOL, DB2, REXX, Base SAS, JCL and IBM utilities, FileAid, Strobe,SPUFI, QMF
FileAid to Optim MOVE migration - Developer/Team Member
Jan, 2012 – August, 2012
The project (client BB&T bank) involved migration from File-Aid to IBM Optim MOVE for managing the test data.
· Analyzed impact due to the migration and compared the data masking functions in FileAid and the IBM tool
· Prepared a list of data masking functions in IBM tool that can be used in place of FileAid data masking functions without affecting the existing data and layout of the test files.
· Created JCLs for migration using the IBM OPTIM tool
Skills and Tools REXX, JCL, IBM Optim MOVE for DB2, FileAid