I am Jubril Adeboyo, a highly motivated graduate student pursuing an MSc in Health Data Science at Swansea University, with four years of experience in healthcare. I enjoy data analysis, medical statistics, medical research, and building data-driven solutions using R and SQL. I am also a mental health enthusiast with two years' experience volunteering with a mental health NGO, where I supported community outreach and program evaluation. In my current role as a Data Scientist with the East of England NHS Ambulance Trust, I developed an innovative forecasting model using R and Power BI to predict non-urgent patient conveyances, enabling precise resource allocation and improving service availability. I have previously supported large-scale linked-data research at Swansea University and practical data analytics at Miicare Ltd, focusing on data management, quality assessment, and dashboards for stakeholders.

Jubril Adeboyo

I am Jubril Adeboyo, a highly motivated graduate student pursuing an MSc in Health Data Science at Swansea University, with four years of experience in healthcare. I enjoy data analysis, medical statistics, medical research, and building data-driven solutions using R and SQL. I am also a mental health enthusiast with two years' experience volunteering with a mental health NGO, where I supported community outreach and program evaluation. In my current role as a Data Scientist with the East of England NHS Ambulance Trust, I developed an innovative forecasting model using R and Power BI to predict non-urgent patient conveyances, enabling precise resource allocation and improving service availability. I have previously supported large-scale linked-data research at Swansea University and practical data analytics at Miicare Ltd, focusing on data management, quality assessment, and dashboards for stakeholders.

Available to hire

I am Jubril Adeboyo, a highly motivated graduate student pursuing an MSc in Health Data Science at Swansea University, with four years of experience in healthcare. I enjoy data analysis, medical statistics, medical research, and building data-driven solutions using R and SQL. I am also a mental health enthusiast with two years’ experience volunteering with a mental health NGO, where I supported community outreach and program evaluation.

In my current role as a Data Scientist with the East of England NHS Ambulance Trust, I developed an innovative forecasting model using R and Power BI to predict non-urgent patient conveyances, enabling precise resource allocation and improving service availability. I have previously supported large-scale linked-data research at Swansea University and practical data analytics at Miicare Ltd, focusing on data management, quality assessment, and dashboards for stakeholders.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate

Work Experience

Data Scientist at East of England NHS Ambulance Trust
May 1, 2023 - Present
Analyzed, developed and produced standard and ad-hoc reports; developed an innovative forecasting model using R and Power BI to predict non-urgent patient conveyances, enabling precise resource allocation and improving ambulance and patient transport availability.
Data Scientist / Research Officer at Swansea University
April 1, 2022 - March 31, 2023
Worked with large-scale linked data using SQL and R (SAIL Databank); collaborated with Covid Evidence Centre researchers; conducted literature reviews; performed complex data analyses with robust data quality assessments; supported dissemination of findings to inform public service decisions.
Clinical Data Analyst at Miicare Ltd
November 1, 2021 - April 30, 2022
Implemented informatics workflows and data warehouse infrastructure; analyzed per-user data points and devices using SQL on Azure Databricks; developed a Streamlit dashboard to visualize user mobility and activities.

Education

MSc Health Data Science at Swansea University
January 1, 2020 - December 31, 2021
MBBS Medicine and Surgery at Lagos State University
January 1, 2007 - December 31, 2016

Qualifications

Statistical Analysis with R in Public Health
January 11, 2030 - January 6, 2026
Intermediate R programmer
January 11, 2030 - January 6, 2026
Leadership and Management in Health
January 11, 2030 - January 6, 2026
Project Management
January 11, 2030 - January 6, 2026

Industry Experience

Healthcare, Education, Non-Profit Organization, Professional Services, Software & Internet