Keerthi Reddy

Developed, enhanced, and maintained COBOL applications within the Hogan IDS/ILP environment to support core banking operations, processing customer account updates, financial transactions, and daily batch processing while ensuring application stability and performance. Supported multiple Hogan modules including IDS, with exposure to DDA, TDA, RPM, CIS, and Umbrella, assisting in client implementations, system maintenance, account configuration, and ongoing production support across core banking applications. Functioned as a Business Systems Analyst for Hogan client integration initiatives, gathering and analyzing business requirements, preparing technical design specifications, performing CDMF overlays and interest rate override configurations on IDS systems, conducting impact analysis, validating end-to-end implementations, and supporting successful client onboarding.

Hogan Developer and Business Systems Analyst - Luxoft Inc - Dallas, United States

(2024-08)

• Developed, enhanced, and maintained COBOL applications within the Hogan IDS/ILP environment to support core banking operations, processing customer account updates, financial transactions, and daily batch processing while ensuring application stability and performance.
• Supported multiple Hogan modules including IDS, with exposure to DDA, TDA, RPM, CIS, and Umbrella, assisting in client implementations, system maintenance, account configuration, and ongoing production support across core banking applications.
• Functioned as a Business Systems Analyst for Hogan client integration initiatives, gathering and analyzing business requirements, preparing technical design specifications, performing CDMF overlays and interest rate override configurations on IDS systems, conducting impact analysis, validating end-to-end implementations, and supporting successful client onboarding.
• Designed, coded, tested, and implemented enhancements across COBOL, CICS, DB2, VSAM, and JCL components, participating throughout the Software Development Life Cycle (SDLC) using both Agile and Waterfall methodologies.
• Performed detailed impact analysis for production changes by reviewing business requirements, existing program logic, database structures, and upstream/downstream system dependencies to deliver accurate implementation estimates and minimize operational risk.
• Developed and optimized embedded SQL within COBOL programs to retrieve, validate, and update customer and account information in DB2, improving processing efficiency while maintaining data integrity across Hogan applications.
• Created, modified, and maintained complex JCL procedures and multi-step batch job streams for production and testing environments, supporting daily processing, client implementations, system conversions, and application deployments.
• Utilized VSAM files, Easytrieve, and DB2 utilities to perform data extraction, validation, reconciliation, and production support activities for customer account and transaction data.
• Executed unit testing, integration testing, regression testing, and production validation for Hogan enhancements, ensuring system functionality aligned with business requirements and minimizing production defects.
• Investigated and resolved production incidents by analyzing application logs, batch failures, SQL errors, and job abends using Abend-AID, IBM Debug Tool, and JES outputs, implementing permanent code fixes to prevent recurring issues.
• Managed application migrations and source code versioning using Changeman, coordinating code promotions across development, QA, UAT, and production environments while following enterprise change management processes.
• Worked extensively with ServiceNow to manage incidents, service requests, problem records, and production change tickets, documenting root cause analysis, implementation plans, testing evidence, and post-deployment validation.
• Collaborated with business users, QA teams, infrastructure teams, and application developers to analyze production issues, clarify functional requirements, coordinate deployments, and deliver software enhancements supporting core banking operations.
• Authored technical documentation including functional specifications, technical design documents, implementation plans, testing documentation, operational procedures, and production support knowledge articles.

Mainframe Developer and Production Support - JPMorgan & Chase (Tata Consultancy Services) - Hyderabad, India

(2021-03 - 2022-06)

• Developed and maintained mainframe applications using COBOL, CICS, and DB2 within insurance and banking domains, ensuring robust financial and IT operations.
• Performed file handling using VSAM files in COBOL programming, ensuring smooth data flow within applications and supporting customer service.
• Developed and refactored JCL scripts for batch processing, significantly improving job execution times, resource utilization, and process improvement. Utilized FTP and SFTP for secure file transfer between applications, maintaining data integrity, security, and process improvement.
• Maintained and supported the INDEX application, a customer database, ensuring data integrity, operational efficiency, and supporting customer service.
• Provided support for individual and bulk account management, addressing customer issues, facilitating smooth database operations, and supporting customer service.
• Managed Tier 2 support tickets escalated from Tier 1 teams, providing advanced technical support, conducting log reviews, and collaborating with development teams to resolve complex issues promptly, supporting customer service and IT operations.
• Monitored critical production jobs, analyzed COBOL programs, and modified JCLs to maintain system stability, supporting IT operations.
• Provided Level 3 support for mission-critical applications, offering quick development fixes, technical support, and coordination with other teams to resolve end-user issues efficiently, supporting customer service.
• Created and managed service tickets in ServiceNow for application enhancements and developments, ensuring timely resolution, documentation, and supporting process improvement.
• Conducted testing and validation to replicate reported issues, ensuring accurate bug reporting, resolution, and supporting process improvement.
• Provided knowledge transfer (KT) sessions to team members for effective dissemination of expertise, best practices, and supporting process improvement.
• Received the "On the Spot" award for outstanding presentation capabilities.

Mainframe Analyst - JPMorgan & Chase (Tata Consultancy Services) - Hyderabad, India

(2020-09 - 2021-02)

• Conducted detailed analysis and documentation of complex internal applications such as Demand Deposit Accounting, Strategic Banking System, and Card Management, utilizing Mainframe, COBOL, and JCL architecture.
• Executed over 200 complex SQL queries for data extraction, transformation, and analysis, optimizing database performance through indexing, query refactoring, and execution plan analysis, resulting in a 40% improvement in query efficiency.
• Processed and cleaned more than 1TB of raw data using Python and Pandas, implementing robust data cleaning and transformation methodologies to improve data quality by 30%.
• Developed 15 interactive dashboards in Tableau, employing advanced visualization techniques like drilldowns and parameter controls to enhance data exploration and facilitate data-driven decision-making, leading to a 40% increase in actionable insights.
• Conducted statistical analysis on 10 key business metrics using Python, applying regression analysis and hypothesis testing to identify optimization opportunities, resulting in a 15% increase in operational efficiency.
• Implemented automation scripts for repetitive tasks, leveraging Python scripting to streamline processes and reduce manual intervention, enhancing productivity and response times.
• Designed and implemented KPI frameworks using SQL and Python to monitor and optimize operational performance, driving efficiencies and facilitating informed decision-making across departments.
• Applied machine learning algorithms for predictive modeling tasks, including demand forecasting, using Python libraries such as scikit-learn, achieving a 25% improvement in accuracy metrics.

Master of Science - Business Analytics - The University of Texas at Dallas (2022-08 - 2024-05)

Bachelor of Technology - SASTRA Deemed to Be University, Thanjavur, India (2020-05)