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Hrishabh Sanghvi, Founder - Arque Tech, Co-Founder Rodeo Travel Technologies, Ex-Edelweiss, Ex-Citibank, IIM Lucknow, talks about his time at IIM L and how he used it to participate in competitions and clubs. He talks about skills one can pick up on campus if one wants to get into stocks and trading. (This is Part 2 of the video series featuring Hrishabh Sanghvi) Check out Part 1 here - http://bit.ly/2N2U4GQ Summary of the video In this video, Hrishabh tells us why b-school and MBA matter. He shares how he chose to do an MBA to figure out what he wanted to do in life. Further, he talks about skills one can work on, in order to build a career in finance, and especially in trading. He shares how trading has evolved and how machine learning and algorithmic trading are a huge part of this evolution. He shares how one needs to know programming languages like R or Python, as well as basics about finance and economics, in order to succeed as a trader. Finally, he talks about networking and soft skills as the key skills one needs in order to succeed in any career but also trading. If you’re curious about the secrets of machine learning and how it works in trading, this is a must-watch for you. Key Takeaways 1. Networking is a really important skill you learn at b-school. 2. Most MBAs don’t teach you soft skills; so make it a point to work on these as well. 3. Focus on building skills on campus. 4. You need to know a programming language, statistics and pipeline in order to work with machine learning. 5. Take part in different competitions to figure out what you enjoy. 6. Use your 2 years at b-school to figure out what you want to do in the future. #Finance #IIMLucknow #Edelweiss #Citibank #Trading About 60% of employers predict that it would take almost a year to return to pre-pandemic hiring levels! Stressed about never finding your dream job? Register for Kounsel Promise, a 100% job guarantee program with industry experts. Get 1-on-1 coaching on job search & networking strategies, profile building, acing interviews, etc. Increase your income & get your dream job within months! Register here - bit.ly/2OJ1Ad6 Get 1-on-1 career coaching from industry stalwarts with Kounsel. Learn from experts, network with them, work on live projects, get recommended reading material & receive text based support after the program ends. Explore the range of career coaches & choose the one that fits your profile. Register here - https://bit.ly/3tobuQB Make your career future-ready with live and recorded Masterklasses on topics like Finance, Investment Banking, Marketing, Data Science, Product Management, etc. Learn in-demand domain skills from top experts with assessments, live projects and case studies. Explore range of various Masterklasses - https://bit.ly/3uIN30d Also, check: A Day In A Stock Market Trader’s Life – Hrishabh Sanghvi - Part 1 here - http://bit.ly/2N2U4GQ Stock Trading Is For Income, Not Wealth Generation – Hrishabh Sanghvi - Part 3 here - http://bit.ly/2OV5wGX Read more stories about finance here - http://bit.ly/2Fa4zmY You can check out stories on careers in finance here - http://bit.ly/2LH8KeN 5 Questions to ask before taking up Finance - Miti's tryst with Finance - http://bit.ly/2KIC82R The Reality Of Investment Banking - Harsh Parikh - Part 1 here - http://bit.ly/2y8NLsn Follow us on Instagram - http://instagram.com/insideiim Follow us on LinkedIn - https://in.linkedin.com/company/insideiim-com Subscribe to our youtube channel here - http://bit.ly/subscribe_insideiim

Hrishabh Sanghvi, Founder - Arque Tech, Co-Founder Rodeo Travel Technologies, Ex Edelweiss, Ex-Citibank, IIM Lucknow, talks in-depth about machine learning and algo-trading, and how these work. He gives us a peek into how investing is evolving today. (This is Part 3 of the video series featuring Hrishabh Sanghvi) Check out Part 1 here - http://bit.ly/2N2U4GQ and Part 2 here - http://bit.ly/2MhWUYT Summary of the video In this video, Hrishabh answers various questions about trading and its evolution. He shares how machine learning works, and how it is changing the job industry. He talks about how machine learning creates the need for a bunch of people with the right skill sets who can control those machines. He shares how the greatest advantage of using machine learning as a trader is the speed of analysis and execution that machines provide. He further talks about maintaining emotional balance while working in a supercharged trading environment. Hrishabh talks about how a trader needs to maintain a balance between taking risks and earning rewards. Finally, he talks about investing versus trading and how both have their own benefits. He tells us how trading is good for earning a monthly income, whereas investing is all about long term gains. If you’re curious about the mindset of a trader, check out this video. Key Takeaways 1. Trading is good for income generation. 2. Do what suits your personality the best. 3. Investing is good for wealth generation, but will not give you income. 4. For a trader, being aware of risks and rewards, and taking the right bets is very important. 5. Speed and breadth of analysis are the biggest advantages of algo trading and machine learning. #Finance #IIMLucknow #Edelweiss #Citibank #Trading Check out: A Day In A Stock Market Trader’s Life – Hrishabh Sanghvi - Part 1 here - http://bit.ly/2N2U4GQ A Key Skill That MBA Doesn’t Teach You – Hrishabh Sanghvi - Part 2 here - http://bit.ly/2MhWUYT Read more stories about finance here - http://bit.ly/2Fa4zmY You can check out stories on careers in finance here - http://bit.ly/2LH8KeN 5 Questions to ask before taking up Finance - Miti's tryst with Finance - http://bit.ly/2KIC82R The Reality Of Investment Banking - Harsh Parikh - Part 1 here - http://bit.ly/2y8NLsn Follow us on Instagram - http://instagram.com/insideiim Follow us on LinkedIn - https://in.linkedin.com/company/insideiim-com Subscribe to our youtube channel here - http://bit.ly/subscribe_insideiim

Ai jargon explained by Hrishabh Sanghvi. www.arque.tech

Basic concepts of machine learning i.e. artificial intelligence explained in easy language

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