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Healthcare Data Analyst with 4+ years in EHR Systems & HL7 FHIR
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Healthcare data professional with 4 years of experience working with EHR systems including Cerner, ModMed, Epic, and Meditech. Skilled in clinical documentation and managing structured patient data, with a solid understanding of healthcare workflows and how data flows within clinical systems. Currently building expertise in HL7 FHIR (R4), API integration, and JSON-based data exchange, with hands-on experience in mapping healthcare data to FHIR resources and testing APIs using Postman. Interested in healthcare interoperability and improving data exchange between providers and insurance systems.
ATME College of Engineering - Mysore
Bachelor of Engineering · Mechanical Engineering
August 1, 2016 – June 30, 2020
Scribe EMR
Super Medical Scribe (EHR & Healthcare Data)
November 1, 2024 – Present
Bengaluru, Karnataka, India
Decipher Health Records
Medical Scribe – Healthcare Data and Documentation
January 1, 2022 – January 31, 2024
Mysore, Karnataka, India
Designed and implemented a healthcare data mapping workflow using HL7 FHIR (R4)
November 1, 2024 – June 30, 2026
• Converted raw hospital data into FHIR resources (Patient, Encounter, Observation) • Performed data transformation (gender mapping, date conversion, structured fields) • Created and tested APIs using Postman (GET, POST, PUT) • Simulated healthcare-to-insurance workflow using Claim and ClaimResponse • Worked with JSON-based FHIR data and validated responses from HAPI FHIR server • Wrote SQL queries to extract and validate patient demographic data prior to FHIR mapping, cross-checking field completeness (name, DOB, gender, identifier) against FHIR R4 Patient resource requirements
Certified [Python, Web development, SQL]
Qspiders
July 1, 2024 – Present
Cultural Fit Analysis
The candidate's experience as a medical scribe indicates a strong understanding of healthcare operations and patient data sensitivity, which aligns well with the ethical and regulatory demands of a Healthcare Data Analyst role. Their project work on FHIR mapping and simulating healthcare-to-insurance workflows shows an interest in improving data exchange and interoperability, suggesting a proactive and problem-solving mindset. The breadth of EHR systems worked with also indicates adaptability. However, the lack of diverse project types beyond direct healthcare data operations might suggest a narrower scope of experience in broader data analytics applications.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in fast-paced clinical environments, consistently meeting documentation turnaround times. Their ability to transform unstructured notes into structured data highlights attention to detail and process adherence. Soft skills like 'Adept Multi-Tasker', 'Good Written Communication', 'Problem Solver', and 'Team Player' are listed, which are beneficial for collaborative data analysis roles. However, these are self-reported and not validated by assessment data.