March 21, 2026
January 13, 2026
October 29, 2025
August 21, 2025
August 18, 2025
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.
I connect front-line healthcare IT with applied analytics and research to support reliable Epic systems and better patient care. My focus is Epic support, population health, Cosmos, and data-driven problem solving that helps healthcare teams improve workflow, reduce issues, and turn data into action.
| 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 |
| 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%. |
| 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 Science — Miami Dade College, 2017 | GPA 4.0/4.0 |
Honors