March 21, 2017


Description

  ABSTRACT of Presentation

 

In this talk I will discuss the steps I took to transition my career to become a data scientist as well as the journey of many of my engineering coworkers took to reach the same level. Domain expertise is critical to possess before applying machine learning to solve complex problems and is the reason engineers can make the best data scientists. 

                                                                          

Registration & Walk-ins 

All attendees are encouraged to register and pay online for this event. Walk-in's will be available for $30 per person.

PLEASE NOTE:  $5 has automatically been added to the registration price as a donation to the SPE-GCS Scholarship Fund.  If you would like to opt out of donating this amount to the SPE-GCS Scholarship Fund, please enter OptOut in the Discount Code field and click Check Discount to apply the code. The code is case sensitive. 

Parking and Venue Directions:

Please refer to the map for directions to parking and the venue.

1A/1B: You can enter the facility premises via Westheimer Rd (1A) or Sage Rd (1B).

2: Please use IHS Markit's covered garage for parking your vehicle. Grab the ticket from the ticket meter as you are entering the parking lot*

3: Use the stairs to come to Level 1 and follow the passage as shown in the map to enter the building. Follow the arrows to enter the Red/Rio Rooms.

* The parking is estimated to cost between $2-$4 for the entire duration. You can pay for the parking after the event; either via parking ticket meter on Floor 1 or while exiting the parking lot through the meter at the entrance.

Map for reference:


Featured Speakers

Speaker: Ted Petrou
Speaker Ted Petrou

 
Ted Petrou is a data scientist at Schlumberger where he spends the vast majority of his time exploring data. Some of his projects include using targeted sentiment analysis to discover the root cause of part failure from engineer text, developing customized client/server dashboarding applications and real-time web services to avoid mispricing …

 


Ted Petrou is a data scientist at Schlumberger where he spends the vast majority of his time exploring data. Some of his projects include using targeted sentiment analysis to discover the root cause of part failure from engineer text, developing customized client/server dashboarding applications and real-time web services to avoid mispricing of sales items. He also enjoys teaching the fundamentals of data science. Ted received his Masters degree in statistics from Rice University and used his analytical skills to play poker professionally and teach math before becoming a data scientist. He is head of Houston Data Science and the author of the upcoming book Pandas Cookbook.  

Full Description



Organizer

Doo Hyun Chung

Email: dchung@chevron.com 
Phone: (909) 451-3362


Date and Time

Tue, March 21, 2017

6:30 p.m. - 8:30 p.m.
(GMT-0500) US/Central

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Location

IHS Markit

5333 Westheimer Rd, Suite 100
Houston, Texas 77056
United States