Shriya Devata
Health Data Analyst | Health Informatics | Pharmacist
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About Me
About Me
Hi! I am Shriya, Specializing in health data analytics and health informatics, I have developed robust skills in analyzing complex health data to drive informed decision-making and improve healthcare outcomes. Proficient in various data analytics tools and informatics techniques, I excel at interpreting and visualizing data trends to provide actionable insights. Passionate about leveraging data to transform healthcare, I am eager to apply my expertise in a full-time role, contributing to innovative solutions within the industry.
Programming & Tools: Python, R, SQL, JAVA
Libraries: ggplot2 (R), tidyverse (R), pandas (python), Numpy (python)
Databases & Cloud: MySQL, PostgreSQL, SQL Server, Familiarity with cloud databases (e.g., Google Cloud SQL)
Analytical Tools: RStudio, Jupyter Notebooks, SQL Server Management Studio (SSMS), MySQL Workbench
Clinical Standards: ICD 9/10, SNOMED-CT, HIPAA, HL7, FHIR, HEDIS, LOINC, EDI, DICOM, RxNorm and CPT.
Statistical and Data Visualization: Tableau, Power BI, MS Office (Word, Excel, PowerPoint, Outlook).
PROJECTS
PROJECTS
DASHBOARD - 1
DASHBOARD - 1
This dashboard offers a comparative overview of HCAHPS (Hospital Consumer Assessment of Healthcare Providers and Systems) patient satisfaction scores across hospitals in various states. It includes detailed hospital information, patient service ratings, survey data, and the cohort hospital delta spread. This comprehensive view of patient satisfaction enables targeted improvements in areas that significantly impact the patient experience.
This dashboard offers a comparative overview of HCAHPS (Hospital Consumer Assessment of Healthcare Providers and Systems) patient satisfaction scores across hospitals in various states. It includes detailed hospital information, patient service ratings, survey data, and the cohort hospital delta spread. This comprehensive view of patient satisfaction enables targeted improvements in areas that significantly impact the patient experience.
DASHBOARD - 2
DASHBOARD - 2
This dashboard offers a comprehensive overview of flu shot data for 2022, detailing vaccination rates by age, race, and county. It highlights the highest vaccination rates among individuals aged 50-64 and 65+, and particularly among Native and Asian racial groups. A county-level map visualizes flu shot percentages across different regions, while a list tracks individuals and their respective vaccination counts. A cumulative graph tracks the total number of flu shots administered throughout the year, providing insights into vaccination trends and identifying areas where efforts can be focused to improve overall vaccination rates.
This dashboard offers a comprehensive overview of flu shot data for 2022, detailing vaccination rates by age, race, and county. It highlights the highest vaccination rates among individuals aged 50-64 and 65+, and particularly among Native and Asian racial groups. A county-level map visualizes flu shot percentages across different regions, while a list tracks individuals and their respective vaccination counts. A cumulative graph tracks the total number of flu shots administered throughout the year, providing insights into vaccination trends and identifying areas where efforts can be focused to improve overall vaccination rates.
DASHBOARD - 3
DASHBOARD - 3
This Emergency Room (ER) Visits Dashboard provides a comprehensive overview of key metrics and visualizations related to ER operations. It includes the total number of patients with a gender breakdown. The average wait time and the average patient satisfaction rating is out of 10. A stacked area chart shows the number of patients by age groups (0-18, 19-65, 66+) over time. The racial distribution of patients is displayed in a bar chart. A heat map illustrates average wait times across different hours and days of the week, with darker colors indicating higher wait times. Additionally, a bar chart shows the number of patients referred to various departments. This dashboard provides valuable insights into ER visits, patient demographics, wait times, and departmental referrals.
This Emergency Room (ER) Visits Dashboard provides a comprehensive overview of key metrics and visualizations related to ER operations. It includes the total number of patients with a gender breakdown. The average wait time and the average patient satisfaction rating is out of 10. A stacked area chart shows the number of patients by age groups (0-18, 19-65, 66+) over time. The racial distribution of patients is displayed in a bar chart. A heat map illustrates average wait times across different hours and days of the week, with darker colors indicating higher wait times. Additionally, a bar chart shows the number of patients referred to various departments. This dashboard provides valuable insights into ER visits, patient demographics, wait times, and departmental referrals.
"Discover the depth of innovation and insight within my portfolio – where every project is a journey of exploration and excellence."
"Discover the depth of innovation and insight within my portfolio – where every project is a journey of exploration and excellence."
SKILLS
SKILLS
MySQL
PostgreSQL
Python
Tableau
R studio
Education
Education
University of Maryland - Baltimore County
University of Maryland - Baltimore County
Degree: MPS in Health Information Technology
CGPA: 3.8/4.0
Relevant Course Work:
Health Informatics
Process and Quality in Health IT
Data Analytics
Introduction to Database Management
Health IT Law and Ethics
Health Care Policy Administration
Public Health Informatics.
G. Pulla Reddy College of Pharmacy
G. Pulla Reddy College of Pharmacy
Degree: Bachelors in Pharmacy
CGPA: 3.5/4.0
Relevant Course Work:
Pharmaceutical Analysis
Pharmacology
Pharmacovigilance
Human Anatomy and Physiology
Pathophysiology
Biochemistry
Biostatistics
Organic and Inorganic chemistry
Microbiology
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