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Deepak KumarDK
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Deepak Kumar

@deepakkumar32

Analytical data and revenue cycle analyst driving claims resolution and process improvements.

India
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What I'm looking for

I seek a role leveraging AR/claims and data analysis in a collaborative, process-focused team where I can drive efficiency, mentor others, and grow into broader operations or analytics responsibilities.

I am a detail-oriented analyst with hands-on experience in AR follow-up, claims denial management, and client access provisioning across healthcare revenue-cycle operations. I focus on using data-driven insights and financial analysis to reduce outstanding balances and improve processing outcomes.

At R1CM I progressed from Analyst to Senior Analyst/Trainer, leading AR follow-up initiatives, analyzing denial trends, and training associates to raise team performance. I collaborate with cross-functional teams to optimize workflows and enhance claims processing efficiency.

Currently I manage client access and system provisioning while continuing to leverage tools like MS Excel and Power BI to inform decisions. I bring strong interpersonal, leadership, and problem-solving skills, and I am passionate about improving operational efficiency through disciplined analysis.

Experience

Work history, roles, and key accomplishments

RC

Senior Analyst / Trainer

R1CM

Jul 2023 - May 2025 (1 year 10 months)

Spearheaded AR follow-up and denial management, reducing outstanding claims through insurer/client outreach and trained associates to improve claims resolution and processing efficiency.

Education

Degrees, certifications, and relevant coursework

LU

Lalit Narayan Mithila University

Bachelor of Commerce, Commerce

Grade: 57.38%

Completed Bachelor of Commerce with a final percentage of 57.38% in 2021.

MC

MLSM College

Class XII, Higher Secondary

Grade: 69%

Completed higher secondary (Class XII) with a percentage of 69% in 2017.

MS

Madonna English School

Class X, Secondary Education

Grade: 78%

Completed secondary education (Class X) with a percentage of 78% in 2015.

Tech stack

Software and tools used professionally

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