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🧰 Healthcare IT Triage Toolkit

Healthcare IT Triage Toolkit cover

A compliance-first, no-PHI playbook for fast healthcare IT ticket triage and routing.
Built from real Epic service desk experience in regulated hospital environments.

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🧠 Professional Summary

I connect front-line healthcare IT with applied analytics to reduce downtime and improve patient care.
My focus is Epic EHR support, cloud solutions, and applied machine learning that deliver reliable, measurable results in healthcare operations.


🛠️ Core Skills

Category Stack / Tools
Languages Python · SQL · JavaScript
ML / Data Pandas · NumPy · scikit-learn · TensorFlow · PyTorch · OpenCV · Power BI
Cloud / DevOps Azure ML · Git · Jupyter · Jira
Healthcare IT / EMR Epic EHR support · Clinical workflow troubleshooting · Incident triage
Other Scientific writing · Public speaking · Team collaboration

💼 Selected Projects

Epic Healthy Planet Project
General Care Management Registry, PHQ-9 Metric, and Dashboard
Built an Epic Healthy Planet analytics project focused on General Care Management and behavioral health tracking. Configured and validated a patient registry, PHQ-9 metric, Reporting Workbench report, and population dashboard to support care gap review, patient outreach, and follow-up work. Tested the build in the Epic training environment and completed the registry, metric, reporting, and dashboard components through hands-on analytics build work.
Driver Behavior Detection System Led the design and training of a multimodal deep learning model using CNN and BiLSTM for real-time driver distraction detection. Achieved 99.08% test accuracy and published the work as first author in the Journal of Big Data (2024).
AI Stock Sentiment Analysis Built a real-time sentiment analysis pipeline using RNN and LSTM models to analyze Twitter market data. Developed a workflow that generated live mobile alerts based on sentiment signals and improved bullish sentiment signal precision to more than 85%.

📚 Publications


🧾 Certifications


🎓 Education and Honors

M.S. in Computer Science (Big Data Analysis)Florida Atlantic University, 2024 GPA 4.0/4.0 · Peer-Reviewed Publication · 3MT 2nd Runner-Up
B.S. in Computer Science (Applied Mathematics)Florida International University, 2020 GPA 3.5/4.0 · UPE Honor Society · Computer Science Mentor / Instructor
A.S. in Computer ScienceMiami Dade College, 2017 GPA 4.0/4.0

Honors


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