Bolu.
I leverage data & technology to improve health outcomes
I specialize in data analytics, quality improvement and clinical informatics.
Hi, my name is
About Me
My interest lies at the intersection of healthcare, informatics, and data analytics. My current professional focus includes clinical and public health data analytics, as well as healthcare interoperability using Fast Healthcare Interoperability Resources (FHIR). I have experience working as a clinical laboratory scientist, public health data analyst and I have also dabbled in web developement.
Currently, I work as a data analyst with leading pediatric experts at the Children’s Hospital of Philadelphia to enhance patient outcomes through the use of data analytics.
My idea of fun involves watching and supporting my favorite football ⚽ team, Arsenal FC, playing video games, reading a good book, traveling, and spending time with friends and family
Here are a few technologies I've been working with recently:- Python
- R
- SQL
- DBT
- Airflow
- JavaScript
- Svelte
- NodeJS
Experience
I currently work as a data programmer analyst at The Children’s Hospital of Philadelphia in Philadelphia, PA.
- Collaborating with Quality Improvement Advisors to enhance clinical and operational workflows using Plan-Do-Study-Action (PDSA) cycles and Statistical Processing Control (SPC ) charts to monitor progress.
- Leveraging technologies including DBT & Airflow in ELT processes.
- Developing Dashboards and Reports using RShiny, PowerBI & SQL.
- Conducted analysis at the state government level to track the use of COVID-19 testing kits distributed to K1-12 schools and long-term care facilities in Indiana
- Contributed to the development of a web based system for reporting COVID 19 laboratory reports to the Department of Health.
- Built deep learning models for human activity recognition based on accelerometer and gyroscope data from smartwatches and smartphones using Keras and TensorFlow. Obtained a classification precision of more than 90% for all the activities.
- Prepared and formatted drafts of research findings for review by the Principal Investigator and eventual journal publication.
Education
2018 - 2020
Master of Science in Health Informatics
Indiana University, Indianapolis, USA
My thesis focused on developing a composable electronic health records system utilizing Fast Healthcare Interoperability Resources (FHIR) web components. I also published papers on Artificial Intelligence & Clinical Informatics including;
- Blood Glucose Level Prediction as Time-Series Modeling using Sequence-to-Sequence Neural Networks.
- Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data.
- Usability and Security of Different Authentication Methods for an Electronic Health Records System
Projects
QI
Data Analytics
RShiny
Safe Use of Opioids
An analysis of the proportion of inpatient hospitalizations for patients 18
years of age and older prescribed, or continued on, two or more opioids or
an opioid and benzodiazepine concurrently at discharge.
FHIR
Javascript
GSoC
Web Components for FHIR resources
The development of FHIR resources based web components for the LibreHealth
EHR based using the LitElement and JavaScript.
FHIR
Svelte
Simple Patient Management System
This project is a web-based application designed to manage patient information.
Built with Svelte, TypeScript, and TailwindCSS, it leverages modern web technologies
to provide a responsive and intuitive user interface.
The application is build on the Patient resources in the HAPI server.
Get in Touch
My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!