Analytics Insight has listed top 10 data scientists who have made their way as maestros to 2021
Ever since the importance of artificial intelligence (AI) and machine learning skyrocketed, data science has seen constant hype in the technology sector. Data science has introduced attention that perhaps no other tech revolution has managed to. The technology is popular among computer science students who have a knack for mathematics and analytics. More and more people are also showing a big interest in data science roles, especially, for data scientist. Data scientists are responsible for tasks right from interpreting large datasets to putting them to use for making data-driven decisions. Analytics Insight has listed top 10 data scientists who made their way as maestros to 2021 and from whom the aspiring people can take cues.
Top 10 data scientist of 2021
Dr DJ Patil
Dhanurjay Patil is a former LinkedIn executive (from 2008-2011) who later served as the White House’s Chief Data Scientist under President Barack Obama. He is well-known as the first-ever data scientist in the US. He played a big role in digitizing the administrative works in Obama’s period. Remarkably, Patil coined the word ‘data scientist’ and was in limelight for over a decade. In 2012, he co-authored a paper titled ‘Data Scientist, the sexiest job of the 21st century.’ Patil earlier served as the Vice President of Products at RelateIQ, which was later acquired by Salesforce.com, Chief Product Officer of Color Labs, and Head of Data Products and Chief Scientist of LinkedIn.
Twitter- @dpatil
LinkedIn- DJ Patil
Dean Abbott
Dean Abbott is the Co-Founder and Chief Data Scientist of SmarterHQ, and President of Abbott Analytics in San Diego, California. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades of experience in applying data mining algorithms, data preparation techniques, and data visualization methods to real-world data-intense problems including fraud detection, risk modelling, text mining, personality assessment, response modelling, survey analysis, planned giving, and predictive toxicology. He is the author of ‘Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst’ and co-author of the ‘IBM SPSS Modeler Cookbook.’
Twitter- @deanabb
LinkedIn- Dean Abbott
Randy Leo
Randy Leo is an innovative data scientist who has his own blog site ‘ClaoudML’ to publish useful data science and machine learning resources free of cost. Besides, he is also a data science mentor at an E-Learning platform called Data Science Dream Job where he helps aspiring data scientists in the learning process and getting jobs.
LinkedIn- Randy Lao
Eric Webner
Eric Webner is a Senior Data Scientist at LinkedIn, an online educator and an epitome of lifelong learning. Webner holds a Bachelor degree in Mathematics from the University of Wisconsin, two Masters degree in Math and Business Analytics at Arizona State University and the University of Minnesota, and a PhD from ASU. Previously, he held roles such as the Director of Data Science and Analytics for HealthEast, Principal of Data Management and Data Science at CoreLogic.
LinkedIn- Eric Weber
Yoshua Bengio
Yoshua Bengio is a full professor of the Department of Computer Science and Operations Research, head of the Machine Learning Laboratory (LISA), CIFAR Fellow in the Neural Computation and Adaptive Perception program, Canada Research Chair in Statistical Learning Algorithms. He also holds the NSERC-Ubisoft industry chair. Bengio’s main research ambition is to understand the principles of learning that yield intelligence.
LinkedIn- Yoshua Bengio
Corinna Cortes
Corinna Cortes is the Head of Google Research, New York, where she is working on a broad range of theoretical and applied large-scale machine learning problems. Prior to Google, Cortes spent more than a decade at AT&T Labs- Research, formerly AT&T Bells Labs, where she held a distinguished research position. Cortes’s research work is well-known for its contributions to the theoretical foundations of support vector machines (SVMs).
Sarita Digumarti
Sarita Digumarti is the Co-founder and COO at Jigsaw Academy. She has over ten years of extensive analytics and consulting experience across diverse domains including retail, healthcare, and financial services. Digumarti has worked in both India and the US, helping clients tackle complex business problems applying analytical techniques.
LinkedIn- Sarita Digumarti
Yann LeCun
Yann Lecun is the Director of AI Research at Facebook, and a Silver Professor of Dara Science, Computer science, Neural Science, and Electronical Engineering at New York University, affiliated with the NYC Center for Data Science. As a professor, LeCun has been working on machine learning, computer vision, robotics, artificial intelligence, computational neuroscience and related topics.
LinkedIn- Yann LeCun
Nando de Freitas
Nando de Freitas is an Associate Professor in the Department of Computer Science at the University of British Columbia. Freitas is a specialist in machine learning with an emphasis on neural networks, Bayesian optimisation and inference, and deep learning. As the principle scientist at Google DeepMind, he helped the organisation in its mission to use technologies form widespread public benefit and scientific discovery, while ensuring safety and ethics.
LinkedIn- Nando de Freitas
Alex Sandy Pentland
Alex Paul ‘Sandy’ Pentland is an American computer scientist, the Toshiba Professor at MIT, and serial entrepreneur. He directs MIT Connection Science, an MIT-wide initiative, and previously helped create and direct the MIT Media Lab and the MediaLab Aisa in India. He is one of the most-cited computational scientists in the world.
LinkedIn- Alex ‘Sandy’ Pentland
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