Ram Seshadri

Ram has worked for more than 20 years in Financial Services and Technology industries. Prior to working in Google, he worked as a Data Scientist for an investment bank. Ram's background includes experience on Wall Street as an Analyst and Portfolio Manager for more than 11 years in leading Hedge Funds. Ram's passion involves building Auto ML solutions and visualization libraries. He spends his spare time watching old classics and detective TV shows with his family.

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Introduction to Trading, Machine Learning & GCP (Coursera) Coursera
New York Institute of Finance,Google Cloud

Introduction to Trading, Machine Learning & GCP (Coursera)

Embark on a journey into the world of finance and technology with our Introduction to Trading, Machine Learning & GCP course. This course is designed for beginners who want to dive deep into trading fundamentals, explore the realm of machine learning, and gain hands-on experience using Google Cloud Platform (GCP). Learn how to identify profitable opportunities in trading, build basic quantitative strategies, and apply machine learning techniques to analyze data effectively.

Jun 1st 2026
4 Weeks
Reinforcement Learning for Trading Strategies (Coursera) Coursera
New York Institute of Finance,Google Cloud

Reinforcement Learning for Trading Strategies (Coursera)

Dive into the world of Machine Learning for Trading by mastering Reinforcement Learning techniques specifically designed for crafting effective trading strategies. Learn to apply RL principles to time series data and build your own momentum trading strategy using advanced methods like LSTMs and actor-based/value-based policies.

Jun 1st 2026
3 Weeks
Using Machine Learning in Trading and Finance (Coursera) Coursera
New York Institute of Finance,Google Cloud

Using Machine Learning in Trading and Finance (Coursera)

Discover the power of machine learning to revolutionize your approach to trading and finance with this comprehensive online course from Coursera. Learn essential components for developing effective trading strategies, explore quantitative trading, pairs trading, and momentum trading techniques, and elevate your financial acumen.

May 29th 2026
4 Weeks
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