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On this episode of The Artists of Data Science, we get a chance to hear from Carlos Mercado, a
Throughout his career, he's had a diverse range of experience, including time as a freight broker, a year long stint teaching English in Korea and working as a data science freelancer. He's currently a senior data scientist at a global consulting firm.
Carlos shares with us his journey into data science, the importance of building your brand, and
WHAT YOU'LL LEARN
[5:16] Where is the field heading?
[10:23] Carlos’s background in economics, and how it relates to data science
[23:52] Lessons regarding how to get the job you want
[30:39] How to use reframing and paradoxes for your mindset
[45:24] Advice on building a resume for data science
[51:40] Building your personal brand
QUOTES
[23:12] “...without the history, you’re not going to have context.”
[25:51] “...your resume is a sales document. So if you don't include it in your sale, they're not going to know to buy.”
[29:33} “...the most important part of data science, besides knowing math, is being able to communicate to business people and making sure that they understand...”
FIND CARLOS ONLINE
LinkedIn: https://www.linkedin.com/in/crmercado/
SHOW NOTES
[00:01:36] Introduction of our guest
[00:02:52] Let's talk about how you first heard of Data science and what drew you to the field.
[00:05:12] Where do you see the field headed in the next two to five years?
[00:06:42] How to be a great data scientist
[00:08:31] Natural language process and voice data
[00:10:15] What is economics and why data scientists should care
[00:11:12] Economics and big data
[00:14:11] Bitcoin and Data Science
[00:17:24] What you need to know about GIS, Urban Economics, and Data Science
[00:22:26] Do you have any other resources or articles that are kind of covering that topic that our readers can go check out if they want to learn more?
[00:23:24] Lessons learned in the data science job search process
[00:26:58] What you've learned about Data science working for a psychiatrist at a nonprofit school.
[00:30:20] Reframe and Paradox
[00:34:36] What it's like working as a consulting data scientist
[00:39:09] How does this differ from working in a regular organization?
[00:40:34] Phoenix project and Unicorn Project
[00:41:04] Freelancing as a data scientist
[00:45:15] How to make a good data science resume
[00:49:57] How to make a good data science project
[00:51:33] How to build your data science brand
[00:53:05] The qualities that Carlos looks for in a data scientist
[00:54:06] What's the one thing you want people to learn from your story?
[00:54:49] The lightning round
Special Guest: Carlos Mercado.
4.9
5050 ratings
On this episode of The Artists of Data Science, we get a chance to hear from Carlos Mercado, a
Throughout his career, he's had a diverse range of experience, including time as a freight broker, a year long stint teaching English in Korea and working as a data science freelancer. He's currently a senior data scientist at a global consulting firm.
Carlos shares with us his journey into data science, the importance of building your brand, and
WHAT YOU'LL LEARN
[5:16] Where is the field heading?
[10:23] Carlos’s background in economics, and how it relates to data science
[23:52] Lessons regarding how to get the job you want
[30:39] How to use reframing and paradoxes for your mindset
[45:24] Advice on building a resume for data science
[51:40] Building your personal brand
QUOTES
[23:12] “...without the history, you’re not going to have context.”
[25:51] “...your resume is a sales document. So if you don't include it in your sale, they're not going to know to buy.”
[29:33} “...the most important part of data science, besides knowing math, is being able to communicate to business people and making sure that they understand...”
FIND CARLOS ONLINE
LinkedIn: https://www.linkedin.com/in/crmercado/
SHOW NOTES
[00:01:36] Introduction of our guest
[00:02:52] Let's talk about how you first heard of Data science and what drew you to the field.
[00:05:12] Where do you see the field headed in the next two to five years?
[00:06:42] How to be a great data scientist
[00:08:31] Natural language process and voice data
[00:10:15] What is economics and why data scientists should care
[00:11:12] Economics and big data
[00:14:11] Bitcoin and Data Science
[00:17:24] What you need to know about GIS, Urban Economics, and Data Science
[00:22:26] Do you have any other resources or articles that are kind of covering that topic that our readers can go check out if they want to learn more?
[00:23:24] Lessons learned in the data science job search process
[00:26:58] What you've learned about Data science working for a psychiatrist at a nonprofit school.
[00:30:20] Reframe and Paradox
[00:34:36] What it's like working as a consulting data scientist
[00:39:09] How does this differ from working in a regular organization?
[00:40:34] Phoenix project and Unicorn Project
[00:41:04] Freelancing as a data scientist
[00:45:15] How to make a good data science resume
[00:49:57] How to make a good data science project
[00:51:33] How to build your data science brand
[00:53:05] The qualities that Carlos looks for in a data scientist
[00:54:06] What's the one thing you want people to learn from your story?
[00:54:49] The lightning round
Special Guest: Carlos Mercado.
38 Listeners