Presentation of my project at Insight. The project is name GetMeThere and is about helping users decide whether they should take the cab or the metro.

1. GetMeThere
Metro Or Cab?
Damien Forthomme, Insight Fellow
Time, Cost, Convenience?

2. NYC Taxi Data - Algorithm/Methodology
Chris Wong's data set (http://chriswhong.com/open-data/foil_nyc_taxi/)
Information on over 100 million cab trips
~50 GB of data
Important features:
● pick up/drop off times and locations
● lengths of the trips
● fare rates and amounts
Derived Features:
● half hours in a day
● days of week (work day or weekend day)
● NYC boroughs

3. Time estimation: gradient boosting regression
25% std on 95% of the data
● path lengths
● current travel times
● subway info
Fare estimation: gradient descent regression
10% std on 95% of the data
Extra features: weather data
(weather underground: http://www.wunderground.com/)
- freezing
- snow
- rain

5. Research: Molecular spectroscopy → study the interactions of
small molecules with light
PhD Postdoctoral Researcher