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In this episode of the Simplilearn Podcast, we sit down with Sushrat Tendulkar – AI mentor, author, and Machine Learning Engineer at Versa Innovation.
He shares his inspiring journey from being a data analyst to becoming an AI expert, how he first discovered neural networks, and the skills needed to start a career in analytics, data science, or machine learning.
We discuss the difference between data analysts and business analysts, career progression in the AI era, the importance of coding and mathematics, and how AI tools like ChatGPT are reshaping the industry. Sushrat also talks about his book “Analytics to AI” and gives practical advice for anyone looking to get into AI – whether on the consumption side (using AI tools) or the creation side (building AI models).
If you’re curious about AI, analytics, or how to future-proof your career in 2025 and beyond, this conversation is a must-watch!
Don’t forget to like, share, and subscribe for more such insightful episodes.
00:00 – Introduction & Guest Background
06:10 – First Encounter with AI & Neural Networks
10:25 – Data Analyst vs Business Analyst
15:50 – Essential Skills to Start in Analytics
22:00 – Career Progression in the Age of AI
28:40 – AI Tools, Automation & Productivity
33:10 – Transition from Analytics to Data Science
42:30 – Creation Side vs Consumption Side of AI
50:00 – Engineering Degree vs Skill-based Hiring
58:00 – Key AI Use Cases in Industry
01:05:20 – Book: Analytics to AI
01:12:00 – Rapid-fire Q&A
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2025/08/16
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