Data Analyst Analytics

Anmisha Grace Data Analyst

+1-773-***-**** *************@*****.*** LinkedIn

SUMMARY

Accomplished Health Informatics professional with 3 years of experience in EHR/EMR systems (Epic, Cerner, Meditech), clinical decision support, and healthcare data analytics. Successfully managed over 100,000 patient records and supported 200+ clinical users, enhancing workflow efficiency by 25% and improving clinical decision-making outcomes by 20%. Proficient in Python, R, SQL, Tableau, Power BI, machine learning frameworks (Scikit-learn, TensorFlow, PyTorch), and cloud platforms (AWS, Azure, Spark, Kafka). Delivered 15+ actionable reports per month and 10+ dashboards, driving population health analytics and evidence-based clinical improvements. TECHNICAL SKILLS

Healthcare Informatics: Electronic Health Records (EHR/EMR) – Epic, Cerner, Meditech; Clinical Decision Support Systems; Telehealth Platforms; Health Information Exchange (HIE); HL7, FHIR, ICD-10, SNOMED CT, LOINC; HIPAA/HITECH Compliance Healthcare IT & Systems: Clinical Workflow Optimization, Patient Safety & Quality Improvement, Outcomes Measurement, Population Health Analytics, Health Policy & Compliance, Interoperability Data Analytics & Visualization: Tableau, Power BI, Statistical Modeling (Regression, Classification, Clustering), Predictive & Prescriptive Analytics, Matplotlib, Seaborn, Plotly

Database Management: SQL (MySQL, PostgreSQL, MS SQL Server), Clinical Data Repositories, Data Warehousing, Data Cleaning & Wrangling Programming & Scripting: Python, R, SQL (core focus for analytics); Java, C++ (basic/intermediate knowledge) Frameworks & Libraries: Scikit-learn, Pandas, NumPy, Flask (basic), TensorFlow & PyTorch (introductory level) Collaboration & Management: Agile/Scrum, Cross-Functional Teaming with Clinicians & IT, Dashboarding, Technical Documentation, Research & Evidence-Based Reporting

PROFESSIONAL EXPERIENCE

Tenet Health – USA Dec 2024 – May 2025

Data Analyst

• Assisted in managing Electronic Health Records (EHR/EMR) – Epic, Cerner, Meditech with integration of clinical decision support systems while ensuring compliance with HL7, FHIR, ICD-10, SNOMED CT, LOINC, and HIPAA/HITECH standards.

• Supported clinical workflow optimization initiatives, contributing to improved patient safety, quality of care, outcomes measurement, and interoperability across departments.

• Conducted data analytics and visualization using Python, R, Tableau, Power BI, Matplotlib, and Seaborn, delivering insights for population health and policy-driven decisions.

• Worked with SQL databases, clinical data repositories, and data warehouses, performing data cleaning, wrangling, and validation to ensure accuracy for reporting and compliance.

• Applied predictive and prescriptive analytics models using Scikit-learn, Pandas, NumPy, and Gradient Boosting techniques, supporting evidence-based clinical decision-making.

• Gained exposure to cloud and big data tools including AWS (S3, Lambda, Athena, SageMaker), Apache Spark, Kafka, and Airflow, assisting in ETL pipelines and data integration workflows.

• Collaborated with clinicians, IT teams, and administrators in Agile/Scrum environments, preparing dashboards, technical documentation, and research-based reports for evidence-based healthcare improvement. ClinicMind – India Jan 2021 – July 2023

EHR Analyst

• Implemented and customized Electronic Health Records (EHR/EMR) – Epic, Cerner, Meditech across 3 hospital units, integrating clinical decision support systems and ensuring compliance with HL7, FHIR, ICD-10, SNOMED CT, LOINC, and HIPAA/HITECH standards.

• Optimized clinical workflows for 200+ users, improving patient data entry efficiency by 25% and supporting quality improvement and outcomes measurement initiatives.

• Conducted data analytics and visualization using Python, R, Tableau, Power BI, Matplotlib, Seaborn, and Plotly, generating 15+ actionable reports per month for population health and compliance tracking.

• Managed SQL databases and clinical data repositories with >100,000 patient records, performing data cleaning, validation, wrangling, and ETL processes to ensure 99% data accuracy.

• Applied predictive and prescriptive analytics with Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, and Gradient Boosting

(XGBoost, LightGBM), improving clinical decision support recommendations by 20%. Supported cloud and ETL workflows using AWS (S3, Lambda, Athena, SageMaker, DynamoDB), Azure, GitHub Actions, CI/CD pipelines, along with Apache Spark, Kafka, Airflow, and Databricks, handling >50 GB of healthcare data weekly.

• Collaborated in Agile/Scrum teams with clinicians, administrators, and IT staff, producing 10+ dashboards and technical reports to support evidence-based healthcare improvements. EDUCATION

Master of Science (Electronics) Dec 2025

Westcliff University

Bachelor of Science (Instrumentation) Mar 2017

Sri Indu College of Engineering and Technology

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