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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.

View the toolkit →


🧠 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

Driver Behavior Detection System Built a CNN + BiLSTM pipeline achieving 99.1% accuracy to detect distraction and drowsiness with OpenCV. Journal of Big Data (2024)
AI Stock Sentiment Analysis Developed a real-time Twitter sentiment pipeline (RNN/LSTM) with live push alerts and 85% bullish precision.
Healthcare IT Service Desk Resolved 100+ weekly Epic and IT tickets, authored 30+ KB docs, and reduced average resolution time by 30%.

📚 Publications


🧾 Certifications


🎓 Education and Honors

M.S. Computer Science (Big Data Analysis)Florida Atlantic University, 2024 GPA 4.0/4.0
B.A. Computer Science (Applied Mathematics)Florida International University, 2020 UPE Honor Society

Honors


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