Sandeep Nagdewani, a data scientist with over a decade of experience, breaks down the booming field of data science—covering everything from salaries, career paths, freelancing, to essential skills.
In this episode of the Ideaman Podcast, Sandeep Nagdevani, a seasoned data scientist, shares his journey from a civil engineering background to becoming a top-tier data professional. He dives deep into the truth behind data science salaries, freelancing vs jobs, essential tools, and how AI is transforming the field.
This episode is perfect for anyone interested in data science, AI, machine learning, freelancing in tech, and high-paying career paths. If you're curious about how to earn up to ₹1 crore+, learn the skills that matter, and future-proof your career, this episode is a must-watch!
Why Should You Watch This Podcast?
✅ Learn how to earn ₹1 crore+ as a data scientist – both in jobs and freelancing.
✅ Discover key tools and skills – From Python to business acumen and machine learning.
✅ Insights on how to grow from data analyst to director-level roles.
✅ Learn from Sandeep’s challenges, industry switches, and upskilling journey.
✅ Understand the real ROI of a data science career in India & abroad.
✅ Bonus: Learn how Sandeep used YouTube alone to become a data scientist!
📌 Key Topics & Timestamps:
⏳ 00:00 - Introduction: What is data science & salary potential in India & US
⏳ 01:41 - Real-world examples: Zomato, Swiggy, Uber & how data powers them
⏳ 05:17 - Sandeep’s personal journey in data science
⏳ 06:14 - What exactly is data science? Explained in simple terms
⏳ 08:27 - Differences between data scientist, analyst & engineer
⏳ 12:47 - Top industries hiring data scientists in 2025
⏳ 16:05 - Step-by-step: How to become a data scientist from scratch
⏳ 21:42 - Can YouTube & online courses make you job-ready?
⏳ 25:32 - ROI of data science careers & key investments
⏳ 27:57 - Biggest challenges & career mistakes in data science
⏳ 31:58 - Will AI replace data science jobs? Reality check
⏳ 34:19 - Final advice: Should YOU choose data science?
Future Opportunities in Data Science:
🔹 AI Integration – Use AI to enhance predictive modeling and automate insights.
🔹 Freelancing in Data Science – Build a remote, high-paying career.
🔹 Cross-industry Demand – Finance, healthcare, retail, and even government sectors need data scientists.
🔹 Leadership Roles – Transition into director and VP roles with strong data and people skills.
If you're passionate about technology, data, and solving real-world problems, this episode is packed with valuable insights!
🎧 Watch the full podcast now and get inspired by Sandeep Nagdevani's incredible journey!
📌 Whether you're a student, IT professional, or someone looking for a career switch, this episode will give you practical, honest advice to help you thrive in the world of data science.
📢 Don't forget to LIKE, COMMENT & SHARE this episode!
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