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MS-ADS @ USD 🎓 | Python & R • ML • Data Engineering | Building tools that make data easier to understand and use
🎓 M.S. in Applied Data Science (MS-ADS) — University of San Diego
💡 Turning complex data into actionable insights through applied modeling, engineering, and storytelling.
- 🧩 Build practical tools for EDA → JCDS
- 📊 Develop applied ML models through research and project-based work across education, healthcare, and workplace analytics
- ⚙️ Work across Python, R, and Cloud (AWS, SageMaker, GCP)
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Tools & Platforms
💻 Run my own Unraid + Ubuntu servers, including a GPU-enabled (RTX 3090) setup for data science experimentation and AI workloads
📷 Into astrophotography, cycling, and DIY Raspberry Pi builds
📚 Resources and Community
- Curated setup guides and workflow notes developed to support students USD's MS-ADS program:
USD-MSADS
📫 LinkedIn · 📍 San Diego, CA
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End-to-end applied data science project integrating multiple public education datasets to model and interpret factors influencing student graduation outcomes.
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Forked from gw-00/Heart_Disease_Prediction
Comparative modeling of coronary heart disease using expanded clinical features across multiple international patient cohorts.
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End-to-end data engineering project that ingests real-time traffic, weather, and incident data from Washington State DOT APIs, stores and processes it in a MySQL database, and supports interactive …
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NLP-based sentiment and topic analysis comparing online discussions of high- and low-performing school districts.
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Forked from amayranib/ADS-508-team-project
Cloud-based predictive analytics project using AWS to evaluate workplace health policies and optimize productivity, retention, and ROI.
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Practical data tools for EDA and I/O — born from MSADS project experience.
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