Curriculum Vitae

Jul 3, 2024

Professional Experience

Data Programmer Analyst

   The Children’s Hospital of Philadelphia, Philadelphia, PA    November 2021 - Present

Data Analyst

   Indiana Department of Health (IDOH) - Indianapolis, IN
   July 2020 – November 2021

Software Developer Intern

   Google Summer of Code - Remote
   June 2020 - August 2020

Graduate Research Assistant

   Purkayastha Lab for Health Innovation, SOIC, IUPUI
   January 2019 - May 2020

Data Analyst

   Indiana University Center for Health Innovation and Implementation Science
   May 2019 - December 2019

Medical Laboratory Scientist

   Garki Hospital Abuja, Nigeria
   May 2016 - June 2018


Skills

  • Advanced Programming and Scripting languages: R, Python, SQL
  • Data Analytics: Exploratory Data Analysis, Statistical Inference, Dashboard Development
  • Data Engineering: Airflow, DBT
  • Cloud Services: Amazon Web Services, Snowflake, Databricks
  • Machine Learning and Artificial Intelligence (AI): Classification and Regression Models, Deep Learning Algorithms
  • Databases: Oracle, Postgres, Microsoft SQL Server, BigQuery
  • Research: Qualitative and Quantitative research methods, Scientific Writing
  • Software/Tools: RMarkdown, RStudio, Jupyter, VS Code, REDCap, Qlik Sense, Tableau, PowerBI, Jira
  • Version control/Documentation: GitHub, GitLab, Code Review
  • Healthcare Standards/Terminologies: OMOP, SNOMED CT, LOINC, ICD/CPT, HL7 FHIR

Education

  • Master of Science in Health Informatics, May 2020
    Indiana University - Purdue University Indianapolis (IUPUI)
  • Bachelor of Science in Medical Laboratory Science, June 2014
    Babcock University - Ilishan Remo, Nigeria

Certifications

  • Building FHIR Applications | July 2024
  • Epic Clinical Data Model | Dec 2023
  • Machine Learning Specialization | Oct 2023
  • AWS Certified Cloud Practitioner | Nov 2022
  • EPIC Caboodle, Clarity, Cogito Data Model | May 2022
  • Google Data Analytics Professional Certificate | June 2021
  • Tableau Analyst | June 2020

Research Publications

  • Mercado, O., Ruan, A., Oluwalade, B., Devine, M., Gibbs, K., & Carr, L. (2024). Leveraging Novel Clinical Decision Support to Improve Preferred Language Documentation in a Neonatal Intensive Care Unit. Applied Clinical Informatics.
  • Carr, L. H., Oluwalade, B., Muthu, N., Beus, J., & Bonafide, C. P. (2023). Between‐hospital variation in clinical decision support availability for common inpatient pediatric conditions: Results of a national Pediatric Research in Inpatient Settings (PRĪS) Network survey. Journal of Hospital Medicine.
  • Oluwalade, B., Neela, S., Wawira, J., Adejumo, T., & Purkayastha, S. (2021). Human activity recognition using deep learning models on smartphones and smartwatches sensor data. arXiv preprint arXiv:2103.03836.
  • Purkayastha, S., Goyal, S., Oluwalade, B., Phillips, T., Wu, H., & Zou, X. (2021). Usability and security of different authentication methods for an electronic health records system. arXiv preprint arXiv:2102.11849.
  • Bhimireddy, A., Sinha, P., Oluwalade, B., Gichoya, J. W., & Purkayastha, S. (2020). Blood glucose level prediction as time-series modeling using sequence-to-sequence neural networks. CEUR Workshop Proceedings.
  • Oluwalade, B., Apte, S., Purkayastha, S. Building a Composable Electronic Health Records System using Fast Healthcare Interoperability Resources (FHIR) web components. DOI: 10.2196/preprints.29674

Professional Membership

  • OHDSI, Community Member | May 2023 - Present
  • HIMSS, Member | Jan 2020 - Present

Interests

  • Technical Interests: Open-source contributions, Interoperability in Healthcare
  • Personal Interests: Hiking, Soccer, Volunteering