Data Scientist, Data Strategist
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I am a data scientist focused on AI, R&D, and research on technology use.

I like complex, ambiguous problems where the path is not obvious. I do my best work when there is a lot of unstructured text, messy data, or hard-to-extract information. I enjoy turning that mess into something reliable, usable, and clear, then sharing that learning. I thrive in front of an audience with data in hand, presenting to stakeholders or teaching at workshops.

My foundation is in statistics and econometrics, including experimental design and program evaluation. I also work deeply in machine learning and natural language processing. In practice, I often blend both, because strong statistical thinking and thoughtful visualization still matter, even in modern AI work.

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My research focuses on how people adopt and use emerging technologies. I am all but dissertation (ABD) in a PhD in Information Systems from University of Maryland, where I combined economics and data science to study technology use, with a focus on wearable health devices. In my current role at the World Bank, I explore how artificial intelligence is enabling students and teachers in low-resource settings to use their phones in ways we never thought possible.

Outside of work, I lead a weekly women’s cycling group to help more women feel confident on a bike. I volunteer with the local Repair Café, where I learned React Native to build a ticketing app for our repairers who are saving broken items from the landfill. At home, I am slowly restoring a historic 1929 Joesler house, one patient renovation at a time.

Software and technologies

  • Languages: Python, R, Stata, SQL, NoSQL, JavaScript
  • Data and engineering: PySpark, Databricks, Git, GitHub, AWS, web scraping
  • Machine learning: scikit-learn, TensorFlow, PyTorch
  • Generative AI: RAG, OpenAI APIs, prompt engineering, structured outputs, agent workflows
  • Visualization and GIS: Tableau, Flourish, ArcGIS, OpenStreetMap

In addition to my work as a data scientist, I also do community advocacy, peer support, and speaking engagements as an Ironman athlete with Type 1 Diabetes. If you would like to connect about this, please reach out through my contact form.

Featured Projects

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Python
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Publications
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Teaching
Dashboard with Integrated Chat
Go to App
LLM PDF Data Extraction Pipeline
View on Github
Publications and Working Papers
View on ResearchGate
Interactive Data Storytelling
View Flourish Blog
Plotly Dashboards Workshop
Harvard Strategic Data Project
Data Processing and Analysis Using Python
Lead Instructor for 110 Masters Students @ UMD Smith

Want to see more?

Check out my Github.