Data science in high-tech manufacturing, agriculture + fin-tech

2017-12-13
Organizer: NC Women in Machine Learning and Data Science
Click here for registration info

Event description: We have members who work in very diverse industries, so for this MeetUp we’ll hear from Irem, who works in high tech manufacturing; Laura, who works in fin-tech; and Angel, who works in agriculture. Each will share what kinds of projects they tackle, what it’s like to work in their industry, how they got into this field, and how they stay in touch with new developments. Our discussion will also be interactive, with time for questions from attendees as well. Come join us for a lively discussion with a great group of women! Look below for more information about their backgrounds.


How to find the meeting: Please use the Lenovo visitor entrance. To do that, you will have to pass a large parking lot, which is for employees, and continue ahead. You will see the signs for Visitors Entrance and Executive Briefing Centers, where our room is located.

Our panelists:

Dr. Irem Sengul Orgut received her Ph.D. in Industrial Engineering with a minor in Statistics in 2015 from the Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University. She currently works at Lenovo Data Center Group as Analytics Project Manager where she uses operations research and analytics methods in a wide variety of problems, including field quality prediction and proactive customer issue resolution. Prior to starting her doctoral studies, she received her B.S. degrees in Industrial Engineering and Mechanical Engineering from Bogazici University, Istanbul, Turkey, in 2010. Her areas of interest and expertise include stochastic and statistical modeling of complex systems with multiple objectives and conflicting decision makers. She received various awards for her research. She is a member of INFORMS and IIE. She lives in Raleigh, NC with her husband and one year old son.

Dr. Laura Jackson is a principal data scientist at PrecisionLender, a commercial banking pricing & profitability platform. She creates visualizations that illuminate patterns and anomalies in banking data, and builds machine learning models that make smart recommendations to bankers, helping them balance their customer’s needs with the risk considerations of the bank. Laura’s sometimes-winding, never-boring career path began at William & Mary, where she earned a BS in mathematical economics and an MS in operations research. She then earned a PhD in computer science at North Carolina State University. Along the way, she completed a year-long stint as an actuary (CIGNA), and worked part-time for two years designing and simulating novel computer network architectures and protocols (Microcomputing Center of NC). Laura then joined Research & Development at SAS where she stayed for 11 years. In one role, she used sensor data from manufacturing systems (such as oil & gas refineries) to prevent catastrophic failures through early detection and predictive maintenance. In another, she estimated the frequency of operational risk loss events (such as fraud and natural disasters) to enable financial institutions to comply with solvency regulations.

Angel Turner is a statistical scientist consulting in the agriculture and foresight space. She is the cofounder of the local AgBio AgTech MeetUp where professionals from diverse fields of life science, technology, engineering come together to break down barriers and innovate in agriculture. Angel holds a Master of Agriculture from Clemson University and has over 18 years in the agricultural industry traveling the path from field, to greenhouse research, lab work and data analysis. Most recently she spent 11 years as a Statistician with Monsanto where her analytic skills supported trait discovery research and model development to estimate plant metrics from imaging at Monsanto's 'Automated Greenhouse'. Angel is a continual learner committed to making agriculture more environmentally sustainable.

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Poster: triangletech