Development of Simulation Environment for Market Trading Strategies• Worked towards developing a simulation environment for using historical market data to emulate trading strategies and analyze their relative performance• Assisted in parallelizing the simulator, enabling it to evaluate strategies over different values of parameters at once• Designed a command line application in Python for fast statistical analysis of daily P&L statements• Developed a script for aggregating and filtering of analysis results based on user provided evaluation criteria• Developed scripts for automatically generating config files and reporting multicast channels used while trading

Electronic Intelligence System using Mondrian Cubes•Objective was to flag possible fraudulent data among financial data presented in the context of government data•Used Pentaho Schema Workbench and Pivot4J Mondrian Cubes to provide a multidimensional aggregated view offinancial data spread across various tables•Deployed and ran a predictive analysis system using Pentaho Business Analytics platform to giving insight into financialdata in various contexts/scenarios and detecting inconsistencies