RCA Project:

• Led the development of Python, numpy, and Pandas-based microservices and in-house library packages to analyze network traffic data using CM and PM data.
• Collaborated on the design and implementation of a robust analytics application, contributing to requirement analysis and preparing high-level and low-level designs.
• Spearheaded the overhaul of a monolithic codebase, introducing coding standards, refactoring code, and modularization.
• Implemented custom code modifiers using AST and CSTLib modules to automate issue class implementation and Root Cause Analysis (RCA) checks.

Achievements:

• Achieved a significant 40% improvement in the processing speed of XBCM and PMETL modules.
• Developed and deployed solutions for cross-verifying and validating Key Performance Indicator (KPI) implementations across multiple modules using Streamlit.

Template Parser Service:

• Developed a Flask microservice to parse and process bank statements as PDF documents.
• Designed and developed a three-layered service architecture to handle incoming PDF files.
• Implemented additional processes for enhanced automation and monitoring, improving overall efficiency and accuracy.
• Published comprehensive documentation on Confluence and Swagger to detail the service implementation.

Achievements:

• Achieved 98% accuracy in parsing and 20 sec turnaround time for processing bank statements.
• Automated monitoring and reporting, significantly improving performance tracking and issue resolution.

Analytics Service:

• Developed a Flask-based microservice to estimate individual income by aggregating data from various financial documents.
• Designed and developed data models, a rule engine, and a strategy for data collection and processing.
• Implemented business logic for tagging bank transactions and building analytics to track cash flow.
• Built a UI/UX app using Retool to demonstrate features and capabilities to stakeholders.
• Conducted PR reviews and knowledge transfer sessions for peer engineers.

Achievements:

• Processed data for millions of financial documents, aiding underwriters and lenders in making informed decisions.
• Reduced manual processing time by 80% through automation.
• Improved performance testing coverage to 95%, ensuring robust and reliable service delivery.

Report Aggregation:

• Developed an automated tool using Electron JS to efficiently build monthly usage reports of devices and active employees.

Achievement:

• Reduced manual effort from over 15 hours per month to just 2 minutes for data fetch and aggregation.

Threat Alert Reporting:

• Aggregated data from various threat and vulnerability reporting tools/portals into the Data Lake.
• Designed pipelines to process data from intermediate layers, report new threats/vulnerabilities as Archer incidents, and generate alerts using APIs.
• Customized Archer fields, applications, reports, roles, and advanced workflows.

Tool Compare:

• Devised tool usage reports by comparing the usage of various tools (ADDM, ALTIRIS, OLYMPUS, MCAFEE, SCCM) across the organization.
• Streamlined the reporting process by ingesting data from multiple sources, running transformations, and comparing data based on IP address and serial numbers.
• Deployed and scheduled pipelines in Azure Data Factory and loaded data into Azure SQL DB.
• Prepared Tableau reports to compare data from different sources.

Achievements:

• Reduced resource consumption and costs by identifying and removing stale user accounts and optimizing license usage.
• Enabled informed decisions on product licenses and usage, improving overall efficiency and cost management.

TRYG (General Insurance)

Job Responsibilities:

• Worked as a backend developer for policy, claim handling, and customer support roles using mainframe systems (Natural ADABAS, CICS, DB2).
• Collaborated with stakeholders for project development activities and requirement gathering.
• Managed and resolved client issues by conducting Root Cause Analysis (RCA) and providing effective solutions.
• Prepared daily status reports on system health and various stakeholder metrics via emails.

Achievements:

• Identified and resolved a critical bug in the claim handling flow that had persisted for 4 years, significantly improving the client's business operations.
• Automated the preparation of daily status reports using Python and scripting, reducing manual effort and increasing efficiency.

McAfee (Anti Virus)

Job Responsibilities:

• Assisted the testing and automation team in developing core antivirus products.
• Automated test cases and unit testing for various product modules on different OS platforms (Windows, Mac, Linux).
• Learned manual and automation testing, unit testing, integration testing, and cross-platform Python development.

Achievements:

• Reduced manual testing efforts by implementing automated unit testing for every release.
• Enhanced software quality and efficiency through automated testing processes.