Disclaimer: Shivam in any capacity does not represent his current employer i.e. HSBC or his exemployer PwC. His opinions are his own only.
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✍These 40 Minutes Will SAVE You from Unemployment | Career Tips in AI & ML

In this episode, we sit down with Shivam, a data analytics and machine learning expert who has worked with top companies like PwC and HSBC. Shivam shares his journey, from cracking the JEE exam and studying at IIEST Shibpur to landing highpaying jobs in the AI & ML field.

Whether you're a fresher looking to break into the industry or someone eager to understand the skills required for data analytics, machine learning, and artificial intelligence, this podcast is your ultimate guide! Shivam provides actionable insights, career tips, and the exact preparation path you need to follow to succeed in these competitive fields.

In just 40 minutes, you'll learn:

How to start a career in AI & Machine Learning
What skills and tools are in high demand
Shivam's realworld experience in the corporate world
Placement advice for freshers
Don't miss out—this video could be the turning point in your career!

Like, Comment, and Subscribe if you find this helpful!
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Social Links 1) Ig https://insta.openinapp.co/qbe1a

Tg https://telegram.openinapp.co/rr5gz

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Hashtags :

#machinelearning #datascience #dataanalytics #dataengineering #artificalintelligence #chatgpt #algorithm #python #corporatejob #jobs #freshersjobs #codinglife #iit #iiestshibpur #jeemains #jeeadvanced #content #socialmediamarketing #contentcreation #mindset #corporatelife #interview #interviewpreparation #education #learning

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Timestamps:
(0:00) Intro
(02:00) Jee journey
(03:00) College life
(04:00) Extra activities
(07:00) Programming language need to learn
(09:00) When you need to start preparation
(10:00) Why machine learning, Artificial intelligence and Data analytics
(12:30) What is Ai & ML
(13:45) How to crack PWC in first attempt
(18:30) How to make a successful career in data analytics
(22:14) How to make a successful career in Machine learning
(25:45) Conclusion of machine learning and data analytics
(28:00) Data analytics is for whom?
(30:40) Frequently asked question !!
(31:30) Can Ai Steal your Job?
(33:45) What is the different between college life and corporate life ?
(37:00) General discussion
(38:50) New job opportunities for freshers
(40:13) Personal interest
(41:25) Outro