Deena Waheed

MS Rehabilitation Sciences student at UIC, graduating December 2024, with experience in clinical research and data analysis. Proficient in statistical tools, including logistic and linear regressions, t-tests, and p-value analysis, with a focus on neurological conditions. Eager to apply and expand these skills in a clinical healthcare data analyst role.

Research Study Design Presentation with Written Research Proposal

Futuristic Footprints: Revolutionizing Parkinson’s Care  

UIC, Chicago IL, January – April 2024

· Designed study on PD fall prediction using regression, correlation, and t-tests.

· Validated fall prediction models with logistic regression.

· Enhanced predictive accuracy with AI and ML integration.

Data Visualization Project Portfolio

Visualization of Scientific Data  

UIC, Chicago IL, February – April 2024

· Created and presented four scientific visuals in health data using Tableau and Adobe Illustrator.

Health Care Data In-Service Presentation  

UIC, Chicago IL, April 2024

Understanding Stroke Prevalence

· Analyzed stroke prevalence and data accuracy using SQL, Excel, and SPSS.

· Quantified stroke risk factors using logistic regression.

Health Care Data Evidence-Based Written Report  

UIC, Chicago IL, March 2024

Integration of Genomic Data in Stroke Rehabilitation

· Investigated genomic data integration with R and ML models.

· Developed exercise plans with Tableau visualizations.

Literature Review Presentations  

UIC, Chicago IL, December 2023

Vision Interventions for Post-Stroke Adults

· Analyzed stroke rehab literature and meta-analysis using Excel, recommending combined visual scanning and task-specific training, while identifying gaps in evidence-based vision interventions.

Aquatic vs. Land-Based Exercise for Pulmonary Function

· Reviewed rehab interventions with Excel and R, analyzing effectiveness on pulmonary function in chronic incomplete spinal cord injury, and recommended further clinician education due to inconclusive results.