🎓 Graduate Student in Health Informatics at Michigan Tech
💡 Passionate about AI in Healthcare | Data-Driven Decision Making | Health Information | Digital Health Innovation 📍 Based in Houston, TX | 6+ years of experience in healthcare operations

I am currently pursuing a Master’s in Health Informatics, with over six years of experience in healthcare operations specializing in Post clinical decision support and authorization processing. My interests lie in bridging the gap between clinical workflows and emerging technologies particularly AI, healthcare data science, and the Internet of Medical Things (IoMT).

I created this portfolio to showcase the hands-on projects I've completed throughout my graduate coursework, ranging from predictive analytics and medical imaging to cloud-integrated mobile health apps.

• Programming: Python, SQL, R, HTML/CSS, JavaScript (basic)
• Libraries & Frameworks: PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Flask
• Tools: Git, Jupyter Notebook, Google Colab, Postman, AWS Lambda, DynamoDB, API Gateway
• Tech Focus: AI in healthcare, IoMT, Data Visualization, Digital Image Processing, Predictive Modeling, EHR systems

Course: Internet of Medical Things
Tech: Flutter, AWS Lambda, DynamoDB, Fitbit API

• Developed a full-stack mobile app for real-time stress tracking using wearable data
• Includes user check-in system, backend cloud functions, and secure data storage
  📄 View Project Repo | 🎥 Watch Demo

Course: AI Learning in Healthcare
Tech: Logistic Regression, Decision Trees, SVM, Python, Colab

• Built and compared multiple models to predict heart disease based on patient data
• Measured accuracy, AUC, and precision to find best model
  📂 View Project Repo

Course: Big Data Analytics
Tech: Apache Spark, Python, PySpark

• Performed distributed data analysis to examine employee attrition trends
• Compared single-node vs dual-node VM performance for cleaning and analyzing large datasets
  📄 View Project Repo

Course: Introduction to Health Informatics
Tech: Microsoft Powerpoint Slides, Peer-reviewed Research, Video Presentation

• Collaborated with classmates to investigate the use of telehealth in primary care settings
• Conducted interviews with healthcare professionals and distributed questionnaires
• Analyzed peer-reviewed literature to evaluate telehealth benefits, challenges, and opportunities
  📄 View Project Repo | 🎥 Watch Demo

Course: AI in Healthcare
Tech: Python, OpenCV, scikit-image, NumPy, Matplotlib, Google Colab

• Implemented grayscale conversion, min–max normalization, and thresholding segmentation on medical images
• Enhanced image contrast and isolated regions of interest to support tumor detection tasks
• Evaluated image quality and segmentation results for potential use in AI model training
  📂 View Project Repo

Course: Clinical Decision Support & AI Modeling
Tech: Python, SQLAlchemy, SQLite, Jupyter Notebook

• Implemented a rule-based system using a JSON symptom database
• Designed SQL tables and mappings for symptoms and conditions
• Built scoring algorithm using Frequency × Evoking Strength to rank top diagnoses
  📄 View Project Repo | 🚀 Open in Colab

• 📫 Email: [[email protected]]
• 🧠 LinkedIn: linkedin.com/in/asiana-holloway
• 💼 Resume: [Google Drive or PDF Link]

"Technology will not replace healthcare workers — but those who use technology effectively will."