About
Dan is a data scientist living in the Greater Boston area. He has worked for the past 3 years for Service Management Group (SMG). SMG is a consumer insights firm that works with large restaurant and retailers to measure customer experience.Recently, Dan has been a lead engineer and data scientist developing new solutions for automated text analysis used by SMG to understand customer survey responses. Dan has also been a principal engineer on SMG’s mobile development team and has worked closely with client teams to create custom insights for clients.
Recent Technical Projects
| Name | Description |
|---|---|
| Emerging Topics | Building detectors that report different types of trends in unstructured text data |
| Sentiment Classification | Building accurate sentiment classifiers by mining large corpii of text |
| Low Occurance Detection | Detecting low frequency high impact occurences in text data for alerting purposes |
| Taxi Queues at LaGuardia Airport | Creating and validating a queue model Using public NYC taxi data |
| Voronoi Diagram Applications | Using Voronoi Partitions to evaluate retail locations |
Hobbies
Additional Links
Jekyll / Web Design:
- Minimal Mistakes – Michael Rose’s Jekyll Design Used for this page
- Markdown Resume – Markdown resume example
- Ink – Another nice Jekyll design
- Zac Stewart – A Blog with some great text analytics examples
- Jekyll – Jekyll for building your own io page
- Unsplash – Stock Photos
Data Science and Analytics:
- Zac Stewart – A Blog with some great text analytics examples
- Toward Data Science – Good articles about current activity in data science
- Open Data Science – Great series of data science conferences
- OR at NCSU – You should go to school here.
This website was inspired by Minimal Mistakes, a Jekyll template designed, developed, and maintained by Michael Rose.