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Naveen Gupta

Naveen Gupta

Data Analyst

Healthcare

Kolkata, Kolkata

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About Naveen Gupta:

I am an Acting Team Lead in Medical Billing with 3.5+ years of experience in Physician Billing, DME Billing, and Revenue Cycle Management (RCM), specializing in Accounts Receivable (AR) analytics, denial management, and process optimization. In my current role, I lead teams, ensure compliance with client requirements, and create tailored AR reports (collections, aging, and trend analysis) that support strategic decision-making.Beyond operations, I am deeply passionate about data-driven problem solving. Over time, I have developed strong skills in SQL, Python, and advanced analytics, and I am actively expanding my expertise in Machine Learning, Deep Learning, and Generative AI. My goal is to transition into a Data Science role, leveraging my healthcare domain knowledge and technical skills to deliver insights, improve efficiency, and drive innovation in data-centric environments.I thrive at the intersection of healthcare operations and analytics—where precision, compliance, and data insights come together to improve outcomes.I am always eager to connect with professionals in Data Science and Healthcare Analytics, explore opportunities for collaboration, and contribute to impactful projects.

Experience

Analytical professional with 3.5+ years of experience in data analysis, spend analytics, and operational reporting. Strong expertise in data cleansing, standardization, KPI reporting, and Power BI dashboard development, with hands-on experience in Excel, SQL, and Python automation. Proven ability to collaborate with cross-functional teams and deliver actionable insights, including contributions to AI-driven medical billing and predictive analytics projects.

Education

Currently pursuing Full Stack Data Science from IIT Guwahati, with a strong focus on statistics, machine learning, Python, SQL, and applied analytics. Holds a B.Sc. in Economics (Honors) from Calcutta University, providing a solid foundation in quantitative analysis, econometrics, and data interpretation relevant to business and operational analytics.

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