Spandan Rakshit

Build various statistical models that drive credit infrastructure activities. Leverage advanced machine learning techniques on large unstructured volume of data to identify valuable insights that help tune credit strategies. Also perform regular performance monitoring of these credit models at portfolio level. Building models on the DL environment using PySpark and libraries like MLLib, GraphFrames. Supervise a team of 2 data analysts on various key analytics projects.

Creating Case Studies for candidate screening

Automation engineer designing automation scripts in CA LISA tool to validate various SOAP, REST and MQ services used by different services across different applications within the consumer banking LOB. Designed SAS code in Mainframes to manipulate and compare large mainframe data sets that reduced the validation time by almost 8 man hours. Made modifications to existing automation framework to run LISA test scripts from ALM

Built an automation test framework for an in-house BPM application using UFT. Also helped design a regression suite that helped reduced manual testing effort by reducing the cost of each test hour from $75 to $17. Automated several flows like Manual Sales Order creation and Sales order tracking in Salesforce using Selenium Webdriver.