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Published on:

10th Jan 2024

92: What is Linear Programming? (A Glimpse to What I Did as a Data Scientist at ExxonMobil)

In this episode, we dive deep into linear programming and its applications in various business scenarios.

We discuss its powerful use in optimizing critical business decisions and also touch on how it was utilized in crucial roles at ExxonMobil to maximize refinery profits.

Tune in to uncover how linear programming can be a game-changer in your data career journey.


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Timestamps:

(05:32) - Introduction to Linear Programming (09:28) - Understanding Linear Programming (12:12) - Applications of Linear Programming (14:55) - Maximizing and Minimizing in Linear Programming (18:43) - Applying Linear Programming to Business (33:20) - Using Linear Regression to Determine Slopes (35:06) - A Real-World Application


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About the Podcast

Data Career Podcast: Helping You Land a Data Analyst Job FAST
The Data Career Podcast: helping you break into data analytics, build your data career, and develop a personal brand

About your host

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Avery Smith

Avery Smith is the host of The Data Career Podcast & founder of Data Career Jumpstart, an online platform dedicated to helping individuals transition into and advance within the data analytics field. After studying chemical engineering in college, Avery pivoted his career into data, and later earned a Masters in Data Analytics from Georgia Tech. He’s worked as a data analyst, data engineer, and data scientist for companies like Vaporsens, ExxonMobil, Harley Davidson, MIT, and the Utah Jazz. Avery lives in the mountains of Utah where he enjoys running, skiing, & hiking with his wife, dog, and new born baby.