Tag: Mixed Methods Research

Becoming a Business Anthropologist: Interview with Oscar Barrera (Part 3 of 3)

In this final part of the Interview, Oscar Barrera shows how he has used qualitative insights along with quantiative data as a business anthropologist to help organizations improve their product. Talking with customers provides an invaluable way to understand their needs, mindset, and decisions.

Oscar Barrera is a Corporate Anthropologist based in Veracruz, Eastern México.  He is the CEO of Corporate Anthropology Consulting and has been working with successful companies and organizations for 8 years helping them to innovate by finding unseen opportunities to grow their businesses and improve their organizational culture. Oscar is also a keynote speaker and is the founder and host of the Podcast Nuevas Posibilidades (New Possibilities) focused on innovation and businesses. Feel free to check out his podcast here as well: https://antropologiacorporativa.mx/podcast/.

Click here to learn more about the Interview Series.

To learn more about Oscar and the sources we referenced in our conversation:

Becoming a Business Anthropologist: Interview with Oscar Barrera (Part 2 of 3)

In Part 2 of our Interview, Oscar Barrera explains how to get yourself out there in order to find clients and how he used coaching to help improve his mindset in such a way that enabled him to pursue his goals. Working through one’s current mindset through coaching can work wonders in helping people grow occupationally or personally, as Oscar attests.

Oscar Barrera is a Corporate Anthropologist based in Veracruz, Eastern México.  He is the CEO of Corporate Anthropology Consulting and has been working with successful companies and organizations for 8 years helping them to innovate by finding unseen opportunities to grow their businesses and improve their organizational culture. Oscar is also a keynote speaker and is the founder and host of the Podcast Nuevas Posibilidades (New Possibilities) focused on innovation and businesses. Feel free to check out his podcast here as well: https://antropologiacorporativa.mx/podcast/.

Click here to learn more about the Interview Series.

To learn more about Oscar and the sources we referenced in our conversation:

Becoming a Business Anthropologist: Interview with Oscar Barrera (Part 1 of 3)

In this next interview in my Series, Oscar Barrera describes how he learned to use anthropology to help businesses improve their products. In this first part, he discusses how he became a business anthropologist and how the business world has shaped his philosophy and approach to work.

Oscar Barrera is a Corporate Anthropologist based in Veracruz, Eastern México.  He is the CEO of Corporate Anthropology Consulting. He has been working with successful companies and organizations for 8 years helping them to innovate by finding unseen opportunities to grow their businesses and improve their organizational culture. Oscar is also a keynote speaker and is the founder and host of the Podcast Nuevas Posibilidades (New Possibilities) focused on innovation and businesses.  Feel free to check out his podcast here as well: https://antropologiacorporativa.mx/podcast/.

Click here to learn more about the Interview Series.

To learn more about Oscar and the sources we referenced in our conversation:

Data Science Storytelling: Quantitative UX Research in Google Cloud with Randy Au (Part 2 of 2)

In this second part of my interview with Randy Au, he discusses the techniques he used to teach himself to code and his approach to programming and data science as a social scientist.

Here is Part 1 of our interview.

Prior to joining Google, he spent a decade as a mixture of a data analyst, data scientist, and data engineer at various startups in New York City and before that, studied Communications. In his newsletter, he discusses data science topics like data collection and data quality from a social science perspective. Outside of work he often engages in far too many hobbies, taken to absurd lengths.

Click here to learn more about the Interview Series this is a part of.

More about Randy:

Data Science Storytelling: Quantitative UX Research in Google Cloud with Randy Au (Part 1 of 2)

Randy Au, a Quantitative UX Researcher at Google, explains how he leverages his backgrounds in communication, statistics, and programming as a quantitative UX researcher in Google Cloud to analyze and improve Cloud Storage products.

Here is Part 2 of our interview.

Prior to joining Google, he spent a decade as a mixture of a data analyst, data scientist, and data engineer at various startups in New York City and before that, studied Communications. In his newsletter, he discusses data science topics like data collection and data quality from a social science perspective. Outside of work he often engages in far too many hobbies, taken to an absurd lengths.

Click here to learn more about the Interview Series.

More about Randy:

Data Science and Game Design: Conversation with Clayton Sisson (Part 3 of 3)

During the final part of our conversation, Clayton discusses his journey from game design to data science, including what inspired them to study data science and what it has been like learning and working in this new field. Clayton Sisson is a game designer and aspiring data scientist, passionate about how data science can shed light on human behavior.

This is the next installment in my Interview Series. During Over the course of the three parts of our conversation, we discuss how game design thinking can help develop usable and useful machine learning products within data science.

Here is Part 1 and Part 2 of our interview.

Resources:

Data Science and Game Design: Conversation with Clayton Sisson (Part 2 of 3)

In Part 2, we discuss how to apply the design concept shikake to machine learning systems. Clayton Sisson is a game designer and aspiring data scientist, passionate about how data science can shed light on human behavior.

This is the next installment in my Interview Series. During Over the course of the three parts of our conversation, we discuss how game design thinking can help develop usable and useful machine learning products within data science.

Here is Part 1 and Part 3 of our interview.

Resources:

Trash Data Science: Garbology, Anthropology, and Spatial Data Science – Conversation with Gideon Singer (Part Four)

Here is the fourth and final part of my interview with Gideon Singer, Director of Spacial Data Science at Litterati, for my Interview Series. He describes the strategies he uses to collect data as a garbologist and data scientist.

Here is Part 1, Part 2, and Part 3 of our interview.

Gideon Singer is an applied anthropologist in the business of exploring societies through the waste, litter, rubbish, and other detritus they leave behind. As a self-proclaimed digital garbologist, his work juxtaposes digital ethnography with archaeology and spatial data science.

Resources:

User-Centric Thinking in Data Science: Conversation with Anna Wu at Google Cloud (Part 3 of 3)

I interviewed Anna Wu, a UX researcher and data scientist overseeing Google Cloud’s Compute Engine. In this final part of the conversation, we discuss how design thinking may useful within data science and machine learning.

Here is the first interview if you would like to start from scratch, and here is more information about Interview Series that this is a part of.

Here is Part 1 and Part 2 of our interview.

Anna Wu, established leader in building and leading high-performing data teams to drive changes impacting hundreds of millions of users. Currently as a research manager at Google, she leads a team of quantitative UX researchers applying UX methods and large scale analytics to inform Cloud product development. 

Before this recent chapter, Anna had 10+ years practicing UX and data science at top IT companies and research labs as a UX researcher, data scientist, research scientist at Microsoft, IBM Research and Palo Alto Research Center. She got her PhD in HCI from Penn State and master/bachelor degrees from Tsinghua University.

Resources:

User-Centric Thinking in Data Science: Conversation with Anna Wu at Google Cloud (Part 1 of 3)

I interviewed Anna Wu, a UX researcher and data scientist overseeing Google Cloud’s Compute Engine, as the next installment of my Interview Series,. In this first part of our conversatoin, she discusses her journey from mechanical engineering into UX research and data science and the importance of effective storytelling within these two fields.

Here is Part 2 and Part 3 of our interview.

Anna Wu, established leader in building and leading high-performing data teams to drive changes impacting hundreds of millions of users. Currently as a research manager at Google, she leads a team of quantitative UX researchers applying UX methods and large scale analytics to inform Cloud product development. 

Before this recent chapter, Anna had 10+ years practicing UX and data science at top IT companies and research labs as a UX researcher, data scientist, research scientist at Microsoft, IBM Research and Palo Alto Research Center. She got her PhD in HCI from Penn State and master/bachelor degrees from Tsinghua University.

Resources mentioned: