WEBINAR / EVENT
Decision Analytics Webinar
What is Decision Analytics and How Can it Be Used To Solve Complex Challenges?
September 01 2022
WEBINAR / EVENT
Decision Analytics Webinar
What is Decision Analytics and How Can it Be Used To Solve Complex Challenges?
September 01 2022
WEBINAR / EVENT
Decision Analytics Webinar
What is Decision Analytics and How Can it Be Used To Solve Complex Challenges?
September 01 2022
Join Jerry Yurchisin on Wednesday to discuss.
The acceleration of change we’re seeing today can be attributed to several sources: trade, technology, health, and the environment. Over the past couple of years, we have all heard the term ‘the new normal’ a million times. But what does this actually mean? It means that the world in is in a period of major transition, the likes of which we’ve never seen. This period has been referred to as the data revolution. Problems will be solved by data scientists, data engineers, data analysts and statisticians, who can model their data to make decisions and uncover solutions to previously ‘unsolvable’ complex challenges.
Toyota saw this coming decades ago and mobilized their data practitioners to start modeling how hybrid vehicles and fuel cell electric vehicles can address environmental concerns and yet be a viable, affordable option for consumers. The data teams at Toyota lead the way in global environmental compliance by performing simulations to balance the environmental impact of their vehicles, the expectations of their shareholders and the promise to build quality, affordable cars.
On Wednesday March 30, we will talk about Toyota and some other examples of real-world Gurobi customers who are using data to solve complex challenges.
Join Jerry Yurchisin on Wednesday to discuss.
The acceleration of change we’re seeing today can be attributed to several sources: trade, technology, health, and the environment. Over the past couple of years, we have all heard the term ‘the new normal’ a million times. But what does this actually mean? It means that the world in is in a period of major transition, the likes of which we’ve never seen. This period has been referred to as the data revolution. Problems will be solved by data scientists, data engineers, data analysts and statisticians, who can model their data to make decisions and uncover solutions to previously ‘unsolvable’ complex challenges.
Toyota saw this coming decades ago and mobilized their data practitioners to start modeling how hybrid vehicles and fuel cell electric vehicles can address environmental concerns and yet be a viable, affordable option for consumers. The data teams at Toyota lead the way in global environmental compliance by performing simulations to balance the environmental impact of their vehicles, the expectations of their shareholders and the promise to build quality, affordable cars.
On Wednesday March 30, we will talk about Toyota and some other examples of real-world Gurobi customers who are using data to solve complex challenges.
Join Jerry Yurchisin on Wednesday to discuss.
The acceleration of change we’re seeing today can be attributed to several sources: trade, technology, health, and the environment. Over the past couple of years, we have all heard the term ‘the new normal’ a million times. But what does this actually mean? It means that the world in is in a period of major transition, the likes of which we’ve never seen. This period has been referred to as the data revolution. Problems will be solved by data scientists, data engineers, data analysts and statisticians, who can model their data to make decisions and uncover solutions to previously ‘unsolvable’ complex challenges.
Toyota saw this coming decades ago and mobilized their data practitioners to start modeling how hybrid vehicles and fuel cell electric vehicles can address environmental concerns and yet be a viable, affordable option for consumers. The data teams at Toyota lead the way in global environmental compliance by performing simulations to balance the environmental impact of their vehicles, the expectations of their shareholders and the promise to build quality, affordable cars.
On Wednesday March 30, we will talk about Toyota and some other examples of real-world Gurobi customers who are using data to solve complex challenges.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Jerry Yurchisin
Senior Data Science Strategist
Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.
Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS.
Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs.
Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Jerry Yurchisin
Senior Data Science Strategist
Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.
Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS.
Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs.
Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Senior Data Science Strategist
Jerry Yurchisin
Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.
Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS.
Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs.
Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.
