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Healthcare Data Analyst with 2+ years in Healthcare Data Analytics & Power BI
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Assessing your cultural and operational fit
Healthcare Data Analyst with 2+ years of hands-on clinical data documentation and quality validation experience in US healthcare environments, combined with M.Sc. Nanomedicine and B.Pharm academic background. Skilled in transforming complex healthcare data into actionable insights using Power BI and Advanced Excel. Demonstrated ability to build healthcare analytics dashboards — including a Hospital Patient Analytics Dashboard tracking 500 patients across KPIs such as readmission rates, billing totals, insurance distribution, and departmental volumes. Deep domain knowledge of US healthcare workflows, OBGYN clinical data, HIPAA compliance, and medical terminology — providing a rare combination of technical analytical skills and genuine clinical context.
Amity University, Noida
M.Sc. Nanomedicine · Nanomedicine
August 1, 2022 – June 30, 2024
MIET, Meerut
B.Pharm · Pharmacy
August 1, 2018 – June 30, 2022
IDS Infotech Ltd.
Clinical Data Specialist & Healthcare Documentation Analyst
November 1, 2023 – February 1, 2026
Noida, Uttar Pradesh, India
Unichem Laboratories Ltd.
Quality Assurance Intern
January 1, 2022 – December 31, 2022
India
Sylis Technology LLP
Management Intern – Diagnostics Domain
January 1, 2021 – December 31, 2021
India
Hospital Patient Analytics Dashboard
January 1, 2024 – December 31, 2024
Independently designed and developed a comprehensive Hospital Patient Analytics Dashboard in Power BI analyzing 500 patients across multiple departments and specialties. Dashboard provides actionable insights into key hospital performance metrics for data-driven decision making. Built interactive KPI cards tracking total patient count (500), average length of stay (10.17 days), total billing (₹39.31M), and readmission rate (16%) — enabling quick executive-level performance overview. Developed department-wise patient distribution analysis across Orthopedics, Oncology, Gynecology, Neurology, General Medicine, Cardiology, Emergency, and Pediatrics using bar chart visualizations. Created monthly patient trend analysis using line charts to identify seasonal patterns and volume fluctuations across the year. Built insurance type distribution analysis (Corporate, Private, Self-Pay, Government) using donut charts — supporting revenue cycle and payer mix insights. Implemented diagnosis-wise patient breakdown table covering Accident, Injury, Anemia, Arrhythmia, Arthritis and other conditions for clinical pattern analysis. Added interactive slicers for Department, Month, and Insurance Type — enabling dynamic filtering and drill-down analysis for different stakeholders.
Data Analytics Course
Physics Wallah (PW Live)
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's experience spans clinical data management, quality assurance in pharmaceuticals, and diagnostics, showing a broad interest within the healthcare sector. The independent project work and continuous education (M.Sc. while working) suggest a self-driven individual. The role at IDS Infotech Ltd. involved working in a regulated US healthcare environment, which aligns with the structured and compliance-focused nature often found in data analyst roles within healthcare. The candidate's profile indicates a good fit for roles requiring meticulous data handling and domain-specific knowledge in healthcare.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, a commitment to data accuracy and integrity, and the ability to meet targets in a regulated environment. Their experience in maintaining HIPAA compliance and generating data quality reports indicates a disciplined and responsible approach to data handling. The independent development of a Power BI dashboard also suggests proactivity and problem-solving skills. The candidate's academic background in Nanomedicine and Pharmacy, combined with professional experience, indicates a strong analytical mindset and a capacity for continuous learning.