Dec. 3, 2018


Description

 

SPE-Gulf Coast Section

SPE logo

 Data Analytics Lunch Special Series

 

Data science tools and terms 

 

Speaker - Giewee Hammond, M.ScAn, M.ScAS, Lead Data Scientist, Aramco Services Company Upstream

 

 

 

 

 
Abstract: 
Giewee will cover the fundamentals of data science for companies that are recently getting started with their analytics programs. She will discuss the data science workflow in detail and eliminate the ambiguity of important data science terminology. A high level of data science techniques will be discussed and overview will be provided on important deep learning and machine learning algorithms that are frequently used and the risks of implementing them. She will close with a few case studies that have been publicized in our industry and include the importance of adopting time series and spatial analytics understanding in oil and gas companies.

 

 
Biography:
Giewee has an extensive mathematics background which she uses to resolve complex problems for Upstream E&P. She is a Lead Data Scientist for her division and has strategized and filled needs for constructing a productive advanced data analytics team to meet the demands of upstream ADA projects. Her projects are high profile, information sensitive by nature and require strategic planning with department directors. She led a company initiative on how knowledge gets managed as her company plans for attrition from its more senior employees. She has implemented ADA projects involving completions, logging and drilling objectives. She has given talks about knowledge management and sourcing the appropriate Data Scientists for assumed business problems. She enjoys empowering individuals with information that will help them to make decisions with favorable outcomes. She holds the following master degrees: Actuarial Science and Analytics.
 

 




Organizer

Sunit Mathur


Date and Time

Mon, Dec. 3, 2018

11 a.m. - 1 p.m.
(GMT-0500) US/Central

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Location

Newpark Drilling Fluids

21920 Merchants Way
Katy, Tx 77449
United States



Group(s): Data Analytics