Data Analyst - Biomedical Analytics PhD

ELORM AGRA, PhD

Atlanta, GA *****.****@******.*****.*** linkedin.com/in/elormagra

SUMMARY

Data-driven biomedical engineer and MD/PhD candidate with expertise transforming complex clinical, research, and operational datasets into actionable business insights. Experienced in data analysis, stakeholder engagement, process improvement, dashboard development, and translating technical findings into strategic recommendations. Strong background in SQL-based analytics, statistical modeling, healthcare data, AI-enabled research workflows, and cross- functional collaboration. Proven ability to work with diverse stakeholders, communicate insights effectively, and drive data-informed decision-making in fast-paced environments. EDUCATION

Emory University & Georgia Institute of Technology Doctor of Philosophy (PhD), Biomedical Engineering, Research Focus:, Structural Heart Disease, Cardiovascular Biomechanics, Medical Device Development, Computational Modeling, Data Analytics Emory University School of Medicine

Doctor of Medicine (MD) Candidate, Completed foundational and clinical medical training with experience interpreting clinical data, patient outcomes, and healthcare operations. Bachelor of Science, Biomedical Engineering

EXPERIENCE

Graduate Research Scientist

Emory University & Georgia Institute of Technology Atlanta, GA

• Analyzed large-scale cardiovascular and biomedical datasets to identify clinically meaningful patterns and support translational research initiatives.

• Designed data-driven workflows that improved experimental efficiency and enhanced reproducibility of research findings.

• Built visualizations and analytical reports to communicate complex scientific and technical findings to multidisciplinary stakeholders.

• Collaborated with physicians, engineers, industry partners, and researchers to define requirements and deliver actionable recommendations.

• Leveraged statistical analysis and predictive modeling techniques to support medical device development and performance evaluation.

• Applied AI-assisted tools and advanced analytics methods to accelerate literature reviews, data interpretation, and decision support.

Clinical Research & Translational Innovation Projects Atlanta, GA

• Managed and interpreted clinical and operational datasets supporting structural heart disease research and medical device development.

• Developed performance metrics and analytical frameworks for evaluating device efficacy and clinical outcomes.

• Presented findings to academic, clinical, and industry audiences, translating technical results into business and strategic insights.

• Worked cross-functionally with engineering, clinical, and regulatory stakeholders to support project objectives and deliverables.

Independent Consultant

Data & Research Analytics Atlanta, GA

• Conducted exploratory data analysis and developed reporting solutions for research and operational decision- making.

• Created executive-ready dashboards and presentations that highlighted key performance indicators and business opportunities.

• Gathered stakeholder requirements and translated business needs into measurable analytical deliverables.

• Utilized SQL, Excel, and visualization tools to uncover trends, assess data quality, and support strategic planning initiatives.

TECHNICAL SKILLS

Data Analysis & Business Intelligence

SQL & Database Querying

Power BI & Tableau

Data Visualization & Storytelling

Stakeholder Engagement

Exploratory Data Analysis (EDA)

KPI Development & Performance Metrics

Process Mapping & Business Analysis

Statistical Analysis

AI & Generative AI Applications

Agile Project Collaboration

Healthcare & Clinical Data Analytics

Cross-Functional Consulting

Requirements Gathering

Cloud Data Platforms (Snowflake, Databricks, Azure, Fabric) Analytics & Visualization: Power BI, Tableau, Excel Advanced Analytics, Power Query Programming & Data: SQL, Python (Pandas, NumPy, SciPy), MATLAB, R Cloud & Data Platforms: Snowflake, Databricks, Microsoft Fabric, Azure Data Services, AWS Fundamentals AI & Machine Learning: ChatGPT, Microsoft Copilot, LLM-assisted analytics, Predictive Modeling, Statistical Learning

Project & Collaboration: Agile Methodologies, Jira, Confluence, Miro, Microsoft Teams SELECTED ACHIEVEMENTS

- Published and presented scientific findings involving advanced quantitative analysis and data interpretation. - Collaborated with multidisciplinary teams spanning engineering, medicine, and industry. - Developed analytical frameworks supporting cardiovascular device innovation and clinical decision-making. - Extensive experience communicating complex data to technical and non-technical audiences. - Applied AI and automation tools to streamline research workflows and enhance insight generation. ADDITIONAL INFORMATION

Work Authorization: Authorized to work in the United States; no sponsorship required. Industries: Healthcare • Medical Devices • Biotechnology • Consulting • Analytics • Artificial Intelligence Professional Interests: Data Analytics • Business Intelligence • Healthcare Innovation • AI Strategy • Digital Transformation

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