Data Analytics Health Informatics

ANDNET TAYE

Atlanta, GA ***********@*****.*** linkedin.com/in/andnet-taye-307218240

SUMMARY

Driven senior Health Informatics major with a strong passion for the intersection between healthcare, information management, and data analytics. Seeking opportunities to apply evolving data analytics expertise to inform decision-making in the healthcare sector, all while continuously advancing in the field of health informatics.

SKILLS

Structured Query Language (SQL)

Electronic Health Records (EHR) Systems

Database Management

Communication (Written and Verbal)

Healthcare Terminology

Analytical Thinking

EDUCATION

Georgia State University (Anticipated Graduation in May 2024)

Bachelor of Interdisciplinary Studies, Health Informatics

CERTIFICATES

2023 Microsoft Structured Query Language (SQL)

2023 Google Data Analytics Certification (Expected completion in December 2023)

EXPERIENCE

Data Management Projects (Jan. 2023- May 2023)

Developed, designed and implemented employee lookup system

Used query optimization to merge data from various tables to facilitate efficient data retrieval

Transformed unprocessed data into organized tables

Quality in Healthcare Problem Solving (Aug. 2023- Dec. 2023)

comprehensive workflow analysis, identifying constraints and streamlining processes for enhanced efficiency.

Proficiently created clear and detailed workflow diagrams which aid in process optimization efforts.

Coordinated quality improvement initiatives, implementing data-driven strategies to enhance processes and outcomes, resulting in measurable improvements in efficiency and effectiveness.

Electronic Health Records (HER) Systems Management (Aug. 2022- Dec. 2022)

Conducted data entry, including patient demographics, medical history, and treatment information while demonstrating attention to detail.

Developed proficiency in using HER software to manage patient data, enhancing skills relevant to healthcare administration and patient care.

Acquired knowledge of HIPAA regulations and best practices for maintaining patient confidentiality in an EHR environment.

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