Location: Boulder/Denver CO
Remote: OK
Willing to relocate: Yes
Technologies: Data science, machine learning, Python, Haskell, SQL, Spark, Hadoop
Résumé/CV: <a href="
Email: REDACTED_EMAIL
Github: <a href="
LinkedIn: <a href="
-----------------------------------------------------
My name is Scott Sullivan, and I am a data scientist living in Boulder, CO. I recently completed the Galvanize Data Science Immersive in Denver, and before that I studied graduate physics at CU. For my Galvanize capstone project, I performed topic modeling of the news using matrix factorization. My final presentation is a live web app, feel free to explore it here: <a href=".
At Galvanize we performed several case studies, including:
  - Predicting the sale price of construction machinery
  - Predicting churn rates for a ride sharing company
  - Predicting fraud on an events website
  - Creating a recommender system for user-rated jokes

For each case study, we worked in small teams to implement a working solution in under a day. There was no guidance, requiring us to work as a team, assign tasks, share code, and combine our results in one presentation. Some example high-level tasks included cleaning data, performing EDA, interpreting features, and comparing different machine learning algorithms, including SVMs, trees, and neural nets.
Please let me know if you're interested!
Best,
Scott