As a member of the Innovation team driven by CEO, we were tasked to design, develop and launch the Clari5 ML Platform aiding the anomaly detection and other use-cases in the BFSI space.- monitored and researched on market competitors, prevalent best practices and trends- contributed in detailing user-stories and authoring platform APIs- ran hypothesis testing of various ML models meant to detect fraud, cross-sell/upsell the next best product- pitched to prospects in multiple geographies for the adoption of new ML platform and Data Science services- consulted clients and developed new dashboards and reporting tools to identify & optimize fraud rules , reduce false positive numbers, induce investigation effort savings and cost reductionProgramming Languages: SQL, PythonBusiness Intelligence: Tableau, Looker, MS ExcelMachine Learning: Regression Analysis

Led high impact teams Implementing the Enterprise Fraud Risk Management system for the country's 2nd largest PSU and private entities. Owned the DRG and business interaction defining the solution scope and design. Enabled the real time integration of the Clari5 Software with high TPS source systems such as Payment Gateway, ATM Switch (ISO 8583), Internet & Mobile Banking System, Core Banking System, Network Firewall, HRMS, MIS etc.Built data pipelines bootstrapping records from high volume RDBMS, text files and data streams using Shell, SQL and Python.Managed stakeholder and cross functional discussions leading to complete customer satisfaction and recognition to the organization.

Techno functional consultant, delivered custom solutions to Finacle Core Banking clients across geography.Owned change request programs covering documentation, solution design, code implementation and user acceptance. Collaborated across organisation with Program managers, Product, QA and legal.Tech Stack : Core Java, J2EE, JSP, HTML, Shell Scripting, Finacle Scripting, SQL