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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 machine learning that deliver reliable, measurable results.
I am building deep skill in clinical data models, Azure ML, and AI-driven decision support for real-world operations.

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🛠️ 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 and troubleshooting
Other	Scientific writing · Public speaking · Team collaboration

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💼 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%.

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📚 Publications

• “Comprehensive Study of Driver Behavior Monitoring Systems” — Journal of Big Data, 2024

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🧾 Certifications

• Microsoft Azure Fundamentals (AZ-900) — 2025
• Graduate Certificate Big Data Analytics — 2024
• IBM Machine Learning Specialist – Associate — 2022
• Microsoft Azure Data Scientist (DP-100) — Expected August 2025
• Google Professional Machine Learning Engineer (MLE) — Planned 2025
• Scrum.org Professional Scrum Master I (PSM I) — 2020

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🎓 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

• 3-Minute Thesis — 2nd Runner-Up, FAU (2024)
• UPE Honor Society — FIU

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