Ben has spent his career focused on all forms of data. He has focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. He has also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. Ben privately consults on data science and engineering problems both solo as well as with a company called Acheron Analytics. He has experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.  

//Other links you can check Ben on

https://www.theseattledataguy.com/mlops-vs-aiops-what-is-the-difference/#page-content

https://medium.com/@benrogojan

https://www.kdnuggets.com/2020/01/data-science-interview-study-guide.html

--------------- ✌️Connect With Us ✌️ -------------

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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/

Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/

Connect with Ben on LinkedIn: https://www.linkedin.com/in/benjaminrogojan/

Timestamps

[00:00] Intro to Benjamin Rogojan  

[01:22] Ben's background

[03:30] What are some of your learnings/key things that jumped out of you?

[08:15] Agile and Data Science

[10:28] Likelihood of failure

[13:05] Sometimes you have to wait

[15:11] Defining your data science process

[19:55] Layer of communication is important between the data scientists and higher-ups

[21:29] How do you navigate challenges? Are there any tools or processes you quantify to work with your clients?

[24:30] How do you show the value of your work using monitoring and observability

[27:58] How can we be better communicators?  

[31:15] Have you seen other roles that really helped the jell of the team?

[33:50] What are your interests? What are you passionate about at the moment?

[34:29] Is there something new you're learning at the moment?

[37:55] Do you have a process about how you figure out even data science or ML is right for a company?

[39:33] Do you have a blog about the process you follow?

[41:24] What is one negative wisdom that you want to share with the community?

[44:35] How did you come up with the company name Seattle Data Guy?

Links mentioned in this episode:  

https://medium.com/@benrogojan

https://www.cprime.com/resources/blog/agile-methodologies-how-they-fit-into-data-science-processes/

https://www.coriers.com/the-data-science-interview-study-guide/

https://medium.com/@SeattleDataGuy/from-data-scientist-to-data-leader-workshop-c6be69698af

https://towardsdatascience.com/4-must-have-skills-every-data-scientist-should-learn-8ab3f23bc325