Maageni Sai Kumar
Benefits Professional with 4 years of total professional experience
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About
Detail-oriented Benefits Professional with 4 years of total professional experience, including 2+ years specializing in US Health Insurance and Benefits Administration via International Voice Process. Proven track record in managing complex benefits inquiries, ensuring data accuracy, and maintaining regulatory compliance. Adept at handling escalations, administering COBRA and LOA workflows, and coordinating with third-party vendors to deliver seamless HR solutions in fast-paced, global environments.
Recognized for consistent performance excellence and client satisfaction.
Experience
Benefits Administrator - Conduent Business Services - Hyderabad, India
(2023-12 - 2025-10)
International Voice Process – US Health Insurance
- Managed end-to-end processing of benefits events, achieving 100% data accuracy across all employee records and service orders.
- Administered COBRA and Leave of Absence (LOA) workflows in strict compliance with US regulatory standards and client-specific policies.
- Ensured full HIPAA compliance, safeguarding patient data integrity and privacy across all member interactions.
- Utilized HCM/CRM platforms to investigate and resolve complex inquiries related to health insurance, retirement plans, and workers' compensation.
- Served as primary point of contact for high-priority benefits escalations, coordinating with third-party vendors to deliver timely resolutions.
- Educated 50+ members weekly on eligibility, coverage, and enrollment options — reducing repeat inquiry calls significantly.
- Streamlined benefits reporting and data-entry workflows, improving team productivity and reducing service delivery turnaround time by 25%.
- Facilitated communication between healthcare providers and insurance carriers, streamlining claims and authorization processes.
Process Executive – Data & Operations - Cognizant Technology Solutions - Hyderabad, India
(2021-08 - 2023-10)
BPO / Back-Office Operations
- Creating highly detailed 3D maps of operating areas that include intersections, lane markers, signs, and signals to ensure precise vehicle localizations beyond GPS data.
- Using an array of sensors and AI to detect and interpret the surrounding environment — pedestrians, cyclists, vehicles, construction zones, traffic lights, etc.
- Leveraging AI and extensive driving data to anticipate the behaviour and possible paths of other road users in real time.
- Generating safe and smooth driving trajectories by factoring in predicted behaviours, traffic rules, emergency protocols, and passenger comfort, including multi-agent interactions such as vehicle-to-vehicle negotiation and responding intelligently to road conditions.
- Implementing layers of security to protect critical functions like steering and braking and conducting extensive testing through billions of simulated and millions of real-world miles to validate safety and system reliability.
Education
Bachelor of Science - Mathematics, Statistics & Computer Science (B.Sc. MSCS) - Osmania University (2017 - 2020)
Intermediate - Mathematics, Physics & Chemistry (MPC) - Rainbow Integrated Junior College (2017 - 2017)
