Tinu Agboola
Loganville,GA
Summary
A detailed Data Analyst in the healthcare industry with accounting background, Skilled in extracting actionable insights from complex datasets to support evidence-based decision-making and improves outcomes. Proficient in leveraging analytics tools, statistical methods, and data visualization techniques to identify trends, streamline processes, and drive operational efficiency. Dedicated to maintaining data integrity and upholding compliance with healthcare regulations, including HIPAA.
Overview
10
10
years of professional experience
Work History
Data Analyst
Concentra Urgent Care
ATLANTA, GA
03.2021 - Current
- Analyzed large datasets to identify trends, patterns and correlations for business insights.
- Analyzed large-scale healthcare datasets to identify patterns and trends, improving patient care efficiency by 15%.
- Developed interactive dashboards in Tableau and Power BI, providing stakeholders with real-time insights into operational metrics and key performance indicators (KPIs).
- Collaborated with clinicians and administrators to design predictive models that reduced patient readmission rates by 12%.
- Ensured data accuracy and integrity through thorough validation processes and compliance with HIPAA regulations.
- Automated data collection and reporting workflows reduce manual processing time by 30%.
Data Analyst
Credit Direct
LAGOS, MD
02.2015 - 01.2019
- Conducted exploratory data analysis (EDA) on customer satisfaction surveys, contributing to a 10% increase in positive feedback.
- Cleaned and standardized large datasets from multiple sources within the organization, enhancing data usability for analytical projects.
- Assisted in developing statistical models to understand the reasons for customers' non-loan repayments, enabling more efficient standard practices and avoiding inactive loans.
- Provided detailed reports and visualizations to senior management, aiding in strategic decision-making processes.
Education
Bachelor of Science - Accounting
University of Lagos
02.2015
Skills
- Data Analysis & Visualization
- Statistical Analysis
- Healthcare Expertise
- Data Management
- Regulatory Compliance
- Communication & Collaboration
- Programming Languages
- Data Visualization Tools
- Databases
- Statistical Tools
- Healthcare Systems
Projects & training
INSTRUCTOR- Jesse Andrist
[ Director of Data & Analytics, Hospital Practice, Mayo Clinic Rochester]
- Predicting Patient Readmissions: Developed a predictive model using logistic regression and machine learning techniques to identify patients at high risk of readmission. Improved prediction accuracy by 20%, enabling targeted interventions and cost savings.
- Healthcare Utilization Dashboard: Designed an interactive dashboard using Tableau to monitor healthcare utilization metrics, including bed occupancy rates and average patient wait times, facilitating data-driven operational decisions.
Coursework
- Statistical Methods
- Machine Learning
- Healthcare Data Systems
- Data Visualization
Timeline
Data Analyst
Concentra Urgent Care
03.2021 - Current
Data Analyst
Credit Direct
02.2015 - 01.2019
Bachelor of Science - Accounting
University of Lagos
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