Dev Business Analyst at Infor India Pvt. Ltd. (2024-02 – Present)
Serve as Subject Matter Expert (SME) for the Time & Attendance module within Infor's Workforce Management (WFM) product, owning end-to-end requirements gathering, stakeholder alignment, and cross-functional delivery.
- Spearheaded development of a pay period-based Attestation module that directly contributed to closing a deal with a top-tier enterprise WFM customer, supporting full customer onboarding.
- Led a cross-functional team of developers and QA engineers to integrate WFM notifications into Infor's common Notification Center — a unified platform consolidating notifications across Infor products including WFM, HRT, and FSM; coordinated with multiple external product teams to align on requirements and dependencies, and drove ongoing validation to keep the integration stable and successful.
- Delivered 10+ product enhancements across Time & Attendance including bi-weekly timesheet extension, 9/80 timesheet, supervisor approval, time-offs, pay codes, shifts, and proxy functionality; designed and implemented a net-new payroll export rollback process that drastically reduced customer incidents and support tickets.
- Developed comprehensive pay rules templates for all US states, Canadian constituencies, and multiple European countries aligned with regional labor laws, enabling consultants and partners to accelerate customer implementations.
- Managed multiple customer enhancement requests simultaneously, translating pain points into scalable product requirements while ensuring backward compatibility for existing customers and maintaining overall product integrity.
- Led customer-facing requirements calls, collaborated with UX designers on mockups, conducted regular demo sessions, resolved timeline conflicts, and ensured expectation alignment — consistently delivering quality results without overpromising.
- Produced release training materials including presentations and recorded videos for each major release cycle; authored hotfix release notes and reviewed product documentation to ensure comprehensive and accurate feature coverage.
- Served as primary point of contact for developers, QA, and product doc teams — resolving Dev-QA conflicts and supporting defect identification during UAT.
- Championed AI adoption within the BA team by leveraging Amazon Kiro — integrating with product codebase, Jira, and documentation — to drive process improvements, enhance team productivity, and enable the BA team to write more detailed and structured business requirements.
Business Analyst – Product | Techno Functional at KFin Technologies Limited (2022-01 – 2024-01)
- Authored Business Requirement Documents (BRDs), use cases, and detailed user stories; decomposed requirements into Jira epics, sprints, and tasks.
- Executed SQL queries across a multi-sourced dataset of 2 crore+ investor records to identify and resolve data discrepancies.
- Automated daily SQL schedules to detect and rectify data flaws, reducing Turn-Around Time (TAT) by 50%.
- Led migration of AML/PMLA product 'InPro' from on-premise to Amazon AWS, coordinating with technology and cross-functional teams.
- Contributed to in-house product 'Quest'; documented release notes covering new features and product enhancements.
Software Developer at Anchanto Services Pvt. Ltd. (2021-01 – 2022-01)
- Managed end-to-end integrations with 3+ global marketplaces and carriers (iShopChangi, Shadowfax, Haravan) via asynchronous REST APIs.
- Developed REST API integrations and collaborated across full SDLC — from requirements and unit testing to production deployment.
- Actively participated in all Scrum ceremonies including daily stand-ups, sprint planning, and retrospectives.
- Troubleshot software bugs using debugging and coding techniques; managed delivery trackers across cross-functional projects in lean Agile environments, ensuring on-time completion within client timelines.
- Conducted API documentation analysis and assessed feasibility of client platforms against Anchanto's Open Integration Platform, supporting seamless onboarding and integration planning.
Summer Research Intern at IIIT Allahabad (2019-05 – 2019-07)
- Implemented an improved ID3 Decision Tree Classifier in Python, achieving 37.15% reduction in training time and 74.9% reduction in tree depth.
