Sara Elgayar
Birmingham,AL
Summary
Adept Data Analyst with a proven track record at GECDAC and UAB Medicine, showcasing expertise in Power BI, Python, and strategic problem-solving. Excelled in transforming complex datasets into actionable insights, notably through innovative visualizations and rigorous statistical analysis. Demonstrated leadership by tutoring in computer science, emphasizing analytical prowess and effective communication.
Overview
15
15
years of professional experience
1
1
Certification
Work History
Data Analyst
Geriatrics and Extended Care Data Analysis Center
Birmingham, AL
02.2024 - Current
- GCF Discover! Power BI: Developed a dynamic 'Boxplot and Trend Line' visualization in Power BI to analyze the performance of 26 million records. Using various comparison criteria, this visualization compared each VISN's performance against national benchmarks across 15 measures.
- "Mapping Tool - Power BI:
Created interactive maps with ArcGIS to visualize 6 million patient data points across county boundaries, highlighting population density distribution nationwide. Designed these visuals to support outcome reporting to senior leadership and optimize resource allocation for healthcare services. - Enhanced filter functionality by implementing custom AND logic in hierarchical slicers, replacing the default OR logic."
- Natural Language Processing (NLP): Currently working on large language models (LLM, e.g., LLAMA3) to analyze clinical notes and identify patterns indicative of suicide risk.
Data Analyst/Biostatistician
UAB Medicine
Birmingham, AL
08.2023 - Current
- Research Projects:
- REGARDS Study: https://www.uab.edu/soph/regardsstudy/
- Department of Medicine, Division of Gerontology, Geriatrics, and Palliative Care. Clinical Center (GRECC), Department of Veterans Affairs.
Analyzed data from the REGARDS cohort, including 10,464 participants (4,438 men, 6,026 women), to examine the cross-sectional association of lower urinary tract symptoms and cognitive impairment.
- RISE Study: https://riseforhealth.org/
- Distribution of musculoskeletal (MSK) pain among 2,713 participants in the RISE FOR HEALTH Study.
- Analyzed the associations between clinical characteristics and pelvic floor muscle health/dysfunction in 520 female participants.
- A prospective analysis of physical activity, sedentary behavior, bladder health, and lower urinary tract symptoms in 2,533 women.
- CARDIA PLUS: Longitudinal Study: Longitudinal Cohort Study on BMI, Waist Circumference, and Lower Urinary Tract Symptoms.
Research Assistant
Rochester Institution of Technology
ROC, USA
09.2018 - 09.2019
- Designed Brain Imaging Data Structure (BIDS) pipeline for 'ExploreAsl' Image processing toolbox, for raw NIFTI/DICOM MRI images to facilitate the interpretation and sharing of ASL imaging dataset
Teaching Assistant
The British University in Egypt
Cairo, Egypt
09.2009 - 09.2012
- Tutored 60+ Computer Science students in 'Introduction to Programming' and 'Data Structures and Algorithms' courses using JAVA
- Helped students in debugging MATLAB code in 'Image Processing' course
Education
M.Sc. - Data Science
University of Rochester
Rochester, NY, USA12.2022
M.Sc. - Computer Science
University of Ain Shams
Cairo, Egypt06.2014
Bachelor of Science -
University of Ain Shams
Cairo, Egypt06.2009
Skills
- Python
- Power BI
- SQL
- SAS
- STATA
- R
- Tableau
- Sci-Kit Learn
- TensorFlow
- Keras
- Pandas
- Linux/Windows
Certification
Python for Data Science, AI & Development by IBM, offered through Coursera.
Projects
Wegmans – FastPick Zone, Python, Sci-kit Learn, Tableau, Analyzed 79,000 online transactions and 155,000 total items. Applied EDA, Feature Engineering, Data Analysis, ML Modeling to identify top frequent ordered items. Optimized the number of orders Wegmans can take and fill within a given time slot. Coronary Arteries Modelling, DC-GAN network, Computer Vision, Python, Tensorflow, Scikit-learn, Implemented a reconstruction method to generate artificial Coronary Arteries from Angiography images using deep neural networks. Trained 14-layer discriminator and generator networks simultaneously. Localized arteries blockage with 83% validation accuracy with TensorFlow. Is Anterior STEMI Associated With CHB?, Statistical Analysis, Hypothesis testing, SATA v25.0, Tested significant relationship between the Anterior ST Elevation Myocardial Infarction and Complete Heart Block. Processed 18,013,878 medical records from NIS dataset and created visualizations depicting patients’ demographic data. Deduced key insights from statistical analysis, Regression, ANOVA, and multivariate analysis on variables like age, gender, and race. Covid-19 Tweets, NLP, Sci-kit Learn, Python, Assessed correlation between hashtags posted by users and six English-speaking countries. Preprocessed 240,000 tweets using different techniques including Tokenization, Parts of Speech Tagging, Stemming and Lemmatization. Compared top topics, and created visualizations representing common hashtags, from different NLP techniques like LDA and NMF with TF-IDF features using generalized Kullback-Leibler.
Publications
- Two-Level Topological Mapping and Localization Based on SIFT and The Wavelet Transform, 2nd International Conference on Circuits, Systems, Communications, Computers and Applications, 06/13
- Nested Graph Representation for Visual SLAM based on Local and Global Feature Processing, International Journal of Computer Applications, 09/13
Work Preference
Work Type
Full TimeWork Location
RemoteHybridOn-SiteImportant To Me
Career advancementWork-life balanceCompany CultureFlexible work hoursPersonal development programsWork from home optionTeam Building / Company RetreatsTimeline
Data Analyst
Geriatrics and Extended Care Data Analysis Center
02.2024 - Current
Data Analyst/Biostatistician
UAB Medicine
08.2023 - Current
Research Assistant
Rochester Institution of Technology
09.2018 - 09.2019
Teaching Assistant
The British University in Egypt
09.2009 - 09.2012
M.Sc. - Data Science
University of Rochester
M.Sc. - Computer Science
University of Ain Shams
Bachelor of Science -
University of Ain Shams
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