☕ Turning coffee into code and dashboards into decisions. I'm a software engineering student at The University of Texas at Dallas striving to use data and technology to build smarter, more human-centered systems.
Currently exploring:
- 🧠 Machine learning & AI applications
- 📊 Data visualization and analytics
- 🏥 Impact-driven tools in healthcare tech
📫 Contact Me
Email: katynguyenm@gmail.com
LinkedIn: https://www.linkedin.com/in/katymn/
A logistic regression model to predict Airbnb Superhost status using 28K listings.
→ Includes custom-built model, ROC-AUC benchmarking, and feature selection.
STAY TUNED!!
A webpage to educate users of heat illness symptoms and signs.
- Includes DOM manipulation and iframe embedding for video content
- Languages: Python, R, C++, C#, JavaScript, HTML/CSS, KQL
- Frameworks/Tools: Jupyter Notebooks, Unity, Pandas, NumPy, Scikit-learn
- AI/ML: KNN, Decision Trees, Logistic Regression (from scratch), Model Evaluation (cross-validation, precision/recall, ROC-AUC), Feature Selection, Hyperparameter Tuning, Clustering, Neural Networks, CNNs, Sentiment Analysis (NLP)
- Other: GitHub, REST APIs, Responsible AI (fairness, bias mitigation, HIPAA)
I love collaborating with mission-driven teams and diving into emerging tech.
If you're building tools at the intersection of AI and impact, reach out!