Location: Boulder/Denver CO Remote: OK Willing to relocate: Yes Technologies: Data science, machine learning, Python, Haskell, SQL, Spark, Hadoop Résumé/CV:

Location: Boulder/Denver CO Remote: OK Willing to relocate: Yes Technologies: Data science, machine learning, Python, Haskell, SQL, Spark, Hadoop Résumé/CV: http://www.drive.google.com/file/d/0B8XBeyOkf1TILUpHbUgtamROUXM/view?usp=sharing http://www.drive.google.com/file/d/0B8XBeyOkf1TILUpHbUgtamRO... Email: scottmsul@gmail.com Github: http://www.github.com/scottmsul http://www.github.com/scottmsul LinkedIn: http://www.linkedin.com/in/scottmsul http://www.linkedin.com/in/scottmsul ----------------------------------------------------- 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: http://www.topicstory.com http://www.topicstory.com. 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