In this episode we are joined by Alex Mikhalev, a software engineer with a focus on Natural Language Processing(NLP) and PhD in applied maths/data fusion/wireless and wired network. Currently, Alex is on the Data Architecture team at Nationwide Building Society. Learn why Data Science is needed with a NoSQL DB. Also, we dive deep into Alex's NLP projects and how you can leverage Redis tools or modules for your own data science projects.
[1:15] In this COVID situation, what stuff are you doing at home to make life interesting?
[2:00] Can you share your overall experience around the hackathon?
[3:30] What was your mission and inspiration to participate in the Hackathon?
[5:00] Can brief the listeners about Data Science and why it would require a NoSQL database?
[6:00] Let us talk about your experience around Redis. When did you use Redis for the first time?
[9:00] Can you tell us how Redis fits into Data Science? What kind of problems does Redis solve for data scientists like you?
[13:00] Can you tell us how you are leveraging Redis tool or Modules for your data science projects
[14:00] Which feature would you love to see in Redis?
[17:00] What developer tools do you enjoy using the most?
Relevant Links
Team Acknowledgment
Thank you to Brian Wachanga (https://github.com/mcwachanga) for building such a great UX to the NLP pipeline and to Gavid D'mello (https://github.com/GavinDmello) for participation in Redis Beyond Cache hackathon.