Data is among the most valuable resources in an organization, and data analysts extract insights from said data to make smart business decisions. Analysts, however, can only work so fast. To extend the capabilities of Shashank’s team of data analysts, they developed a proof-of-concept based on machine learning to automate the analytics process and significantly accelerate the generation of actionable insights.
Shashank Kalanithi is a Senior Data Analyst at Nordstrom in Seattle, Washington, United States. In this episode, you’ll hear about his journey to becoming a Data Analyst despite having a Chemistry degree, his role on the Nordstrom Strategic Analytics Team, and their exciting project on building an automated machine learning platform that augments the abilities of individual data analysts.
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***** Video Details *****
00:00 Introduction
09:44 Augmented Analytics, Concept, and Implementation at Nordstrom
19:12 The Future of Automated Analysis
24:13 What Businesses Need to Thrive
42:32 The Importance of Standardization in Analytics Automation
52:31 The Interesting Things That Shashank Encounters Within His Network
01:00:22 Shashank’s Advice for Aspiring Data Analysts – Up-Skill and Earn a Living
***** Related Links *****
Connect with Shashank Kalanithi
Linked In: https://www.linkedin.com/in/shashankkalanithi/
YouTube: https://www.youtube.com/c/ShashankKalanithiData
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