Tuesday 22 August 2017

Top data scientists to follow

Andrew Ng

Andrew Ng is chief scientist at Baidu Research, associate professor at Stanford University, and founder and chairman of the board at Coursera. He is the founder of the Google Brain project, which developed large-scale artificial neural networks, one of which taught itself to recognize cats in videos. He specializes in deep learning and has published over 100 papers in machine learning and other fields. You can find links to many of them from the Andrew Ng web page.

Geoffrey Hinton

You must have heard the term ‘Back Propagation’? He is the brain (co-inventor) behind this algorithm for training neural nets and deep learning simulations. Moreover, Geoff invented the term ‘Dark Knowledge’. Its inspired by the idea that most of the knowledge is in the ratios of tiny probabilities that have virtually no influence on the cost function used for training or on the test performance. He is widely known for his work on Artificial Neural Networks. In 2013, he joined Google and led its AI team. Geoff holds a PhD in Artificial Intelligence from Edinburgh. He and his research group have been the driving force behind the resurgence of neural networks and deep learning.

Dean Abbott

Dean Abbott is co-founder and chief data scientist at SmarterHQ, and founder and president of Abbott Analytics. He is a co-author of the IBM SPSS Modeler Cookbook, and the author of Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst. Follow his blog at http://abbottanalytics.blogspot.com.

Kenneth Cukier

Kenneth Cukier is the data editor for The Economist. He's a co-author of the book Big Data: A Revolution That Will Transform How We Live, Work, and Think, and is a popular speaker. Watch him gave a fascinating TED talk on "Big data is better data."

Sebastian Thrun

Sebastian Thrun is CEO at Udacity and a research professor at Stanford University. He founded Google[x], where he led the Google driverless car project, and continues as an advisor. He is the recipient of numerous awards and prizes, a popular influencer on LinkedIn, and has a large following on Twitter. Thrun has authored and contributed to 11 books and hundreds of papers, and was named one of Popular Science's Brilliant Ten scientists of 2005.

Vincent Granville


Visionary data science executive with broad spectrum of domain expertise, technical knowledge, and proven success in bringing measurable added value to companies ranging from startups to fortune 100, across multiple industries (finance, Internet, media, IT, security), domains (data science, operations research, machine learning, computer science, business intelligence, statistics, applied mathematics, growth hacking, IoT) and roles (data scientist, founder, CFO, CEO, HR, product development, marketing, media buyer, operations, management consulting).

Harrison Kinsley


Founder of multiple businesses, all of which leverage the Python programming language. From using Flask web development on all of my business sites, to Scikit-Learn and Pandas for machine learning and data analysis with Ensmo.com, to the Natural Language Toolkit for natural language processing with Sentdex.com, to teaching a massive variety of Python programming topics on PythonProgramming.net, Python and programming is a major part of my life and work.

Karlijn Willems


Although Karlijn is Data Science Journalist, but would like to include in this list. Karlijn Willems holds a degree in Literature and Linguistics (English and Spanish) and Information Management from KU Leuven. Before joining DataCamp as a data science journalist, she worked as a junior big data developer with Hadoop, Spark and Scala. Now, she writes for the DataCamp community, focusing on data science and data science education.

Martin Gornar

Have extensive knowledge of deep learning and tensor flow, great explanation about intelligence brain. Watch Tensorflow and deep learning - without a PhD by Martin Görner

Dr. DJ Patil

Although not residing in India, no conversation about data science is complete without talking about the Indian-origin Dhanurjay “DJ” Patil. The first Indian to be appointed the Chief Data Scientist of the United States Office of Science and Technology Policy, DJ famously tweeted, saying “Data Science doesn’t care about what you majored in or even if you got a degree. It’s what you do with the data that matters”. To top it all, DJ Patil is credited with having coined the term “Data Science”.

Ravi Vijayaraghavan

A Silicon Valley veteran, with experience in heading digital marketing and analytics teams at 24 [7] and Mu Sigma, he has worked across the domain from scientific research to IT to marketing. A Big Data specialist (in 2014) Mr. Vijayaraghavan was the recipient of the Henry Ford Technology award – the highest technical recognition at Ford Motor Company. Mr. Vijayaraghavan has been instrumental in shaping Flipkart into the data-driven powerhouse that it is today.

Rohan Rao

Numbers, puzzles, and sudoku are Rohan’s fascination and perhaps that’s one of the reasons he is keen about Data Science too. With a Masters degree from IIT Bombay in applied statistics, Rohan started off his career with 64 Squares as a data scientist. Post his two-year stint there, he moved to Belong.co as a data scientist and later joined as the lead data scientist for AdWyze. He now works as a senior data scientist for Paytm.

Sudalai Rajkumar

Freshdesk’s lead data scientist, Sudalai Rajkumar takes care of building scalable machine learning and analytics systems for his organization. Kaggle’s top 25 data scientists have his name and he has been one of the top solvers in the CrowdAnalytx platform. To quote more of his achievements, he has published papers in some reputed global conferences and even has a patent under his name. He has worked in the Research and Development team at Global Analytics and in Tiger Analytics, where he lent his expertise to solve numerous customer concerns.

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