
shalinipriya Elavazhagan
@shalinipriyaelavazha
I turn business and customer data into actionable insights using Python, SQL, R, and Power BI.
What I'm looking for
I've supported US healthcare clients at Cognizant Technology Solutions and MiraMed Ajuba Solutions, resolving claim denials, recovering revenue, and reducing outstanding payments across Medicare, Medicaid, and commercial insurers.
In my MSc Business Analytics studies at Queen's University Belfast, I build practical analytics solutions using Python, R, SQL, Power BI, Tableau, and advanced Excel. My work spans predictive modelling, statistical analysis, data cleaning, visualization, and database management.
I've developed machine-learning models for maritime cost optimisation, housing-price prediction, airline recommendation analysis, and term-deposit targeting. I also create dashboards and customer segmentation insights that support marketing, HR, and operational decisions.
I'm looking to apply my business acumen, healthcare operations experience, and analytical skills to deliver meaningful insights and support organizational growth.
Experience
Work history, roles, and key accomplishments
Managed medical billing for physicians by making outbound calls to insurance companies for US clients, resolving claim denials and ensuring timely reimbursement for CMS-1500 forms. Specialized in denial management, verified patient eligibility and claim status through Availity and other insurance platforms.
Education
Degrees, certifications, and relevant coursework
Queen's University Belfast
Master of Science, Business Analytics
2024 -
Pursuing an MSc in Business Analytics, focusing on data analysis, statistical modelling, and business intelligence.
GKM College of Engineering, Anna University
Bachelor of Engineering, Automobile Engineering
2014 - 2018
Completed a Bachelor of Engineering in Automobile Engineering, building a strong foundation in engineering principles and problem-solving.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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