WEBINAR / EVENT
Where Data Meets Decisions: Part 3
Data science is used to help improve decision-making, and is now applied to nearly all industries, academic research and curriculum that require enhanced decision-making with complexity. This webinar will explore how mathematical optimization is an invaluable tool to enhance decision-making and how it works seamlessly with machine learning to help problem solvers get the most out of their well-tuned predictive models. In this webinar, we will deliver: A brief introduction to math optimization and its use cases. A new modeling example in action that truly takes you from data to optimal decisions. An example from Gurobi’s set of ready-to-solve models, where you can use optimization with no prior experience. We’ll then wrap up by covering all the learning material Gurobi has made freely available for anyone to use. Don't miss out – let's dive into the world of data-driven decision-making together. Jerry has over a decade of experience in operations research, data science, and visualization, specializing in enhancing decision-making with data. Before joining Gurobi, Jerry worked in consulting at OnLocation, Inc. & Booz Allen where he supported numerous projects by building and customizing mathematical optimization models and leveraging machine learning, applied statistics, and simulation—all to support decision-making through data-driven narratives. Jerry also has a background in college-level mathematics instruction. Now, at Gurobi, Jerry aims to promote the integration of mathematical optimization into the data science and broader AI communities.
February 27 2024
WEBINAR / EVENT
Where Data Meets Decisions: Part 3
Data science is used to help improve decision-making, and is now applied to nearly all industries, academic research and curriculum that require enhanced decision-making with complexity. This webinar will explore how mathematical optimization is an invaluable tool to enhance decision-making and how it works seamlessly with machine learning to help problem solvers get the most out of their well-tuned predictive models. In this webinar, we will deliver: A brief introduction to math optimization and its use cases. A new modeling example in action that truly takes you from data to optimal decisions. An example from Gurobi’s set of ready-to-solve models, where you can use optimization with no prior experience. We’ll then wrap up by covering all the learning material Gurobi has made freely available for anyone to use. Don't miss out – let's dive into the world of data-driven decision-making together. Jerry has over a decade of experience in operations research, data science, and visualization, specializing in enhancing decision-making with data. Before joining Gurobi, Jerry worked in consulting at OnLocation, Inc. & Booz Allen where he supported numerous projects by building and customizing mathematical optimization models and leveraging machine learning, applied statistics, and simulation—all to support decision-making through data-driven narratives. Jerry also has a background in college-level mathematics instruction. Now, at Gurobi, Jerry aims to promote the integration of mathematical optimization into the data science and broader AI communities.
February 27 2024
WEBINAR / EVENT
Where Data Meets Decisions: Part 3
Data science is used to help improve decision-making, and is now applied to nearly all industries, academic research and curriculum that require enhanced decision-making with complexity. This webinar will explore how mathematical optimization is an invaluable tool to enhance decision-making and how it works seamlessly with machine learning to help problem solvers get the most out of their well-tuned predictive models. In this webinar, we will deliver: A brief introduction to math optimization and its use cases. A new modeling example in action that truly takes you from data to optimal decisions. An example from Gurobi’s set of ready-to-solve models, where you can use optimization with no prior experience. We’ll then wrap up by covering all the learning material Gurobi has made freely available for anyone to use. Don't miss out – let's dive into the world of data-driven decision-making together. Jerry has over a decade of experience in operations research, data science, and visualization, specializing in enhancing decision-making with data. Before joining Gurobi, Jerry worked in consulting at OnLocation, Inc. & Booz Allen where he supported numerous projects by building and customizing mathematical optimization models and leveraging machine learning, applied statistics, and simulation—all to support decision-making through data-driven narratives. Jerry also has a background in college-level mathematics instruction. Now, at Gurobi, Jerry aims to promote the integration of mathematical optimization into the data science and broader AI communities.
February 27 2024
Where Data Meets Decisions: Combining Data Science and Mathematical Optimization
Data science is used to help improve decision-making, and is now applied to nearly all industries, academic research and curriculum that require enhanced decision-making with complexity. This webinar will explore how mathematical optimization is an invaluable tool to enhance decision-making and how it works seamlessly with machine learning to help problem solvers get the most out of their well-tuned predictive models.
In this webinar, we will deliver:
A brief introduction to math optimization and its use cases.
A new modeling example in action that truly takes you from data to optimal decisions.
An example from Gurobi’s set of ready-to-solve models, where you can use optimization with no prior experience.
All learning material Gurobi has made freely available for anyone to use.
Where Data Meets Decisions: Combining Data Science and Mathematical Optimization
Data science is used to help improve decision-making, and is now applied to nearly all industries, academic research and curriculum that require enhanced decision-making with complexity. This webinar will explore how mathematical optimization is an invaluable tool to enhance decision-making and how it works seamlessly with machine learning to help problem solvers get the most out of their well-tuned predictive models.
In this webinar, we will deliver:
A brief introduction to math optimization and its use cases.
A new modeling example in action that truly takes you from data to optimal decisions.
An example from Gurobi’s set of ready-to-solve models, where you can use optimization with no prior experience.
All learning material Gurobi has made freely available for anyone to use.
Where Data Meets Decisions: Combining Data Science and Mathematical Optimization
Data science is used to help improve decision-making, and is now applied to nearly all industries, academic research and curriculum that require enhanced decision-making with complexity. This webinar will explore how mathematical optimization is an invaluable tool to enhance decision-making and how it works seamlessly with machine learning to help problem solvers get the most out of their well-tuned predictive models.
In this webinar, we will deliver:
A brief introduction to math optimization and its use cases.
A new modeling example in action that truly takes you from data to optimal decisions.
An example from Gurobi’s set of ready-to-solve models, where you can use optimization with no prior experience.
All learning material Gurobi has made freely available for anyone to use.
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.
