Business Analyst excelling in software system planning, analysis, and design especially related to healthcare IT in an Agile environment. Have worked on a multitude of web and mobile-based applications including EHR and EDI. Practice management system and other custom software systems.
- Managing Business Analysis team as Supervisor.- Liaising with clients in the US to perform requirement elicitation.- Collaborate with IT team and developers to produce new systems- Steered sprint planning, product backlog grooming and refinement, prioritization of requirements in communication with client, and communication with the development team. Conducted demo session.- Implemented two-factor authentication (2FA) in applications
Drawing Business Process diagrams
Supporting end-to-end delivery of projects by conducting sessions with coders, testers & end-users during the product lifecycle.
Liaise with users to track additional requirements and features
Handling RCM change management
Implemented improvements for more efficient work processes and system training for newcomers
Design, Analyze and Implement multiple dashboards.
Implemented Contact Center Quality Assurance (QA).
Implemented Payment IVR (PCI DSS Complaint) for payment smooth payment processing.
User stories / Acceptance Criteria
Mockup creation
Examine and evaluate the current systems
Document interfaces between new and legacy systems
· Digital Profiles of Employees
Team member for the development of “Online Portal”.
Coordination with 600 officers of MoIT and its allied units to gather the requisite information through Portal.
Performed profile analysis in identifying Future High Potentials (Hi-Pos) for each organization.
· ICTs for Girls
Coordinated with 147 Women Empowerment Centers (WEC) for the confirmation of established facilities.
Obtained feedback with reference to the curriculum offered.
Coordination for issue resolution at WECs
· NTC Customer Satisfaction Survey
Designed a survey form for data gathering from all Federal Ministries/Divisions.
Analyzed the data for making recommendations.