Shiva Raju G K

MS in Bioinformatics

August 2021 - May 2023

Relevant Coursework

• Biomedical Analytics
• Database Management
• Visualization
• Machine Learning
• Deep Learning Neural Networks

B.E. in Biomedical Engineering

Sep 2013 - June 2017

Relevant Coursework

• Introduction to Biomedical Informatics
• Healthcare Data Management
• Electronic Health Records
• Biomedical Image Processing
• Human biology and physiology courses

State of Florida - Department of Health

July 2023 - Present

Research Consultant

• Conducted comprehensive epidemiological analysis of biomedical and health informatics data, with a strong focus on uterine fibroids, maternal and child health, reproductive health, and dental health, informing public health strategies and interventions.
• Developed and disseminated data-driven reports, fact sheets, and dashboards to inform policy and program development, supporting evidence-based decision-making in public health.
• Led epidemiologic research to identify determinants and risk factors for health outcomes in Florida.
• Provided expert statistical analysis support, training, and technical assistance to internal health programs, enhancing the accuracy and clarity of health data interpretation.
• Assisted in health surveillance programs for Florida school children, including survey creation, data cleaning, analysis, and reporting.
• Collaborated with Community Health Divisions, local health departments, universities, and external partners to support maternal and child health research initiatives, fostering interdisciplinary research efforts.
• Proficient in SAS and R for health data analysis, including data cleaning, merging, variable generation, and comprehensive documentation for statistical analysis.
• Analyzed Medicaid data using CPT and CDT codes to identify areas of high fraud incidence, leading to targeted interventions that improved health program effectiveness in underserved communities.
• Developed Medicaid data reports and visualizations on enrollment, expenditures, and healthcare trends, providing insights for DOH leadership on program performance.
• Supported DOH initiatives to enhance Medicaid quality and value-based care through rigorous data analysis and reporting.
• Integrated health data with public health registries, vital statistics, and electronic health records to enable comprehensive analysis across multiple public health programs.
• Utilized SAS PROC SQL to efficiently extract and integrate data from state health databases for statistical modeling and reporting.
• Created reusable SAS macros to automate data retrieval and streamline analysis processes, improving efficiency in data management.
• Conducted geospatial analyses (GIS maps) and hot spotting to identify healthcare shortage areas, guiding targeted interventions to improve access and outcomes.
• Managed and published health data updates on the Florida State DOH website, ensuring timely dissemination of health information and statistical reports.
• Ensured compliance with healthcare data protection and privacy regulations, including HIPAA, safeguarding the integrity of health data.
• Managed contracts and grants up to $5M, fostering collaborations and expanding public health initiatives.

YanLab, IUPUI

September 2021 - May 2023

Research Assistant

• Conducted thorough data analysis in analyzing longitudinal demographic and clinical data from the UK Biobank and ADNI, employing Python and R scripting for data preprocessing, feature engineering, and statistical analysis.
• Implemented machine learning algorithms like random forest and logistic regression to predict disease progression.
• Developed and automated data pipelines using bash scripting for various functionalities, including data extraction, transformation, and loading processes involving demographic and ICD-10 data.
• Ensured data accuracy and consistency, reducing data processing time by 40% and enabling timely analysis for projects on disease epidemiology and healthcare utilization patterns.
• Implemented data mining techniques on electronic health record (EHR) data using SAS 9.4 to identify patterns and trends in patient outcomes and treatment effectiveness for chronic neurological conditions.
• Development of static website using the Jekyll framework for the lab, resulting in an increase in online presence and collaboration.
• Assisted in developing, maintaining, and collecting structured and unstructured datasets for analysis and reporting.
• Optimized existing SAS, Python and R scripts' code to make them more generic and reusable, reducing code complexity by 20%.
• Created custom data visualizations and dashboards to communicate complex data insights to stakeholders, resulting in improved decision-making and strategic planning.

Accenture Pvt. Ltd.

October 2017 - August 2021

Analyst

• Analyzed product data and developed statistical models to identify trends and patterns in the health insurance outcomes, improving accuracy.
• Innovated various test strategies aligned with healthcare business requirements, leading to a 30% reduction in testing time.
• Implemented SAS macros to automate ad-hoc requests for data manipulations, imports, exports, and updates, resulting in a 25% increase in data accessibility.
• Designed and implemented real-time monitoring dashboards for healthcare data pipelines, enabling proactive identification and resolution of data quality issues or performance bottlenecks.
• Optimized database performance and query efficiency by analyzing and fine-tuning MySQL queries, implementing specialized indexing strategies, and leveraging database tuning techniques, crucial for managing vast volumes of healthcare data and ensuring optimal system performance.
• Developed 100+ Java and Python scripts while maintaining old scripts to automate data extraction, transformation, and loading (ETL) processes, resulting in a 40% increase in efficiency.
• Integrated automated tests into Jenkins pipelines, ensuring that tests are executed automatically with each code commit.
• Configured Jenkins jobs to report test results directly into Jira, allowing for centralized tracking of test outcomes within the project management system.
• Collaborated with healthcare stakeholders to comprehend reporting needs and translate them into interactive Tableau dashboards, offering intuitive visualization of critical healthcare metrics and KPIs, enabling informed decision-making and data-driven strategic planning.

Chakra IT Solutions

September 2018 - February 2019

SAS Programmer Analyst

• Played a pivotal role in supporting and offering indispensable SAS programming and analytical expertise for a diverse range of Phase I to IV clinical trial studies encompassing Oncology, CNS.
• Developed, implemented, and validated end-to-end standard (SDTM) and analysis (ADaM) datasets which includes DM, LB, DS, VS, EX, SUPPDM, ADSL, ADAE, etc. by ensuring meticulous compliance with CDISC, and regulatory standards.
• Leveraged aCRF, Mapping Specs, IG, Controlled Terminology, Pinnacle21 validator to uphold data quality and integrity.
• Produced tables, listings, and graphs in alignment with study specifications and mock shells.
• Manipulated SAS datasets using techniques like MERGE, SET, PROC SORT, PROC MEANS, PROC FREQ, PROC REPORT, PROC SQL, PROC TRANSPOSE, etc., and wrote outputs to external files using Output Delivery System (ODS).
• Developed efficient SAS macros, %LET variables, CALL SYMPUT functions, and DATA NULL techniques to streamline clinical data cleaning, validation analysis, and report generation.

Languages and Databases

Frameworks

Visualization

Tools and Technologies