The data industry is rapidly evolving with newer technologies, applications, and predictive analysis. Big Data, coupled with predictive analytics algorithms, allows you to trace newer patterns in data, and come up with accurate predictions. Top Data Science influencers in the world offer insights that improve business operations. Enterprises today are depending more upon predictive analysis of Data Science though leaders, rather than sales reports, for assured improvements. Our discussion aims at keeping you updated with the current trends and opportunities in Data Science and predictive analytics. We have pulled together a list of the top influential Data Science influencers in the world.
Top Data Science Influencers in the World
Our choice of the 10 best Data Science leaders is based on their innovation, data solutions, training and mentoring, and publications. Most of these Data Science influencers are young and talented data evangelists who have won us by their accurate predictions about future business trends and opportunities.
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Kirk Borne:
Kirk borne
Kirk Borne is the Principal Data Scientist and Executive Advisor at Booz Allen Hamilton, where he proposes data solutions for several internal and external projects (that includes human resources, marketing, customer engagement, behavior analytics, risk mitigation, novelty discovery, and prescriptive analytics, and geospatial-temporal modeling. Kirk Borne is one of the top Data Science influencers in the world.
Prior to Booz Allen Hamilton, Borne was an integral part SYNTASA’s Advisory Board. He provided big data analytic solutions using open source technology. He is also the Executive Committee Member of Astroinformatics and Astrostatistics International Organizations, where he has contributed largely to promoting Astrostatistics and Astroinformatics as research disciplines and creation of three new international and national organizations. As the Vice President of ARIES Scientific, Kirk Borne advised and consulted with numerous federal agencies and private companies in Data Science areas, including data mining and large-scale data management.
Kirk Borne has also worked at George Mason University where he conducted researches and taught Astroinformatics, Data Science, Computational Astrophysics, Astronomy, Computational Science, Data Mining, Informatics, Scientific Databases to undergraduate and graduate students. An Astrophysicist, Space Scientist, Big Data & Data Science advisor, TEDx speaker, consultant, researcher, and Data Literacy advocate, Kirk Bourne is undoubtedly one of the best-known Data Science leaders today.
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DJ Patil:
DJ Patil, who has served as the U.S. Chief Data Scientist for more than two years, is one of the youngest and most inspiring Data Science thought leaders in the world. He was appointed by President Obama to be the first U.S. Chief Data Scientist. Patil’s efforts created 40 Chief Data Officer roles across the Federal government. He also played a significant role in establishing new health care programs (including the Precision Medicine Initiative and the Cancer Moonshot), new criminal justice reforms and led the national data efforts. He was awarded by Secretary Carter the Dept. of Defense Medal for Distinguished Public Service.
Patil was a part of the product teams at RelateIQ and was a member of the venture firm Greylock Partners. He was the Chief Scientist, Chief Security Officer and Head of Analytics and Data Product Teams at the LinkedIn Corporation where he co-coined the term “Data Scientist”. Patil has also served several roles at Skype, PayPal, and eBay.
As a member of the faculty at the University of Maryland, DJ Patil’s research focused on nonlinear dynamics and chaos theory and he kickstarted a major research initiative on numerical weather prediction. In his role as an AAAS Science & Technology Policy Fellow for the Department of Defense, Dr. Patil also directed new efforts to leverage social network analysis and the melding of computational and social sciences to anticipate emerging threats to the US. One of the prized gems in Obama’s team, Patil is often ranked among the top Data Science influencers in the world.
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Dean Abbott:
Dean Abbott is founder and president of Abbott Analytics. Abbott Analytics leads organizations through the process of applying and integrating leading-edge data mining methods to marketing, research, and business endeavors. His organization Abbott Analytics is aimed at improving work efficiency, regulatory compliance, profitability, and research through data mining. One of the top Data Science leaders, Abbott has a rich experience in data mining and machine learning. He is co-founder and Chief Data Scientist at SmarterHQ.
Dean Abbott worked as the Senior Data Scientist with Elder Inc., where he was actively involved in Data mining consulting and portfolio optimization. Before Elder, he worked for PAR Government Systems Corp. his role as a Senior Member Technical Staff, involved in Data mining and pattern recognition in signal and image processing (ASW, fluorescence imaging), developing software for commercial data mining software, and Optical sensor simulation and testing. He holds a masters in applied mathematics from the University of Virginia. He completed his bachelors in Computational Science from Rensselaer Polytechnic Institute.
Abbott is a part of the Advisory Board in UC Irvine Predictive Analytics Certificate Program. Ranked among the top Data Science influencers in the world, Abbott has a number of titles to his credit, including IBM SPSS Modeler Cookbook, and the author of Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst.
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Kenneth Cukier:
Kenneth Cukier, the data editor for The Economist, is one of the most promising Data Science leaders in the world. Prior to The Economist, he was a Data editor and a foreign correspondent. Kenneth Cukier was also a research fellow at Harvard’s Kennedy School of Government (2002-2004).
Kenneth Cukier co-authored the book Big Data: A Revolution That Will Transform How We Live, Work, and Think, with Viktor Mayer-Schönberger in 2013, a New York Times Bestseller translated into 20 languages Cukier’s writings have appeared in the Washington Post, Financial Times and Foreign Affairs, among others. A regular commentator on BBC, CNN, and NPR, and a member of the World Economic Forum’s council on data-driven development, Kenneth Cukier is ranked among the top data influencers in the world. He is also a board director of International Bridges to Justice and a member of the Council on Foreign Relations.
Cukier is a regular keynote speaker at several webinars and technology events organized by TED, World Economic Forum, Google, Facebook, IBM, Microsoft, McKinsey & Co, Schroders, Visa, IMF, World Bank, US State Department, Council on Foreign Relations, Aspen Institute, Royal Statistical Society, and the universities of Harvard, MIT, Oxford, Cambridge and LSE, among others.
One of the top Data Scientists in the US, Cukier is actively involved with many welfare charities. He is a trustee of Chatham House (The Royal Institute of International Affairs) in the UK. He serves on the board of International Bridges to Justice, a Geneva-based NGO promoting legal rights in developing countries. Cukier is the board of director of The Open String, which provides classical instruments to children in poverty. He is a part of the advisory board that caters to the Daniel Pearl Foundation, and a member of the Council on Foreign Relations in New York.
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Lillian Pierson:
Lillian Pierson is the founder and Chief Data Scientist at Data-Mania.com and a well-known thought leader in Data Science. At Data-Mania, she coaches students on using Python for data munging, data visualization, dimension reduction, clustering, classification, regression, Plot.ly, web-scraping, network analysis, and for building recommendation systems. Pierson also founded BigDataGal.com. As a Founder & Technical Consultant, she offered online and face-to-face training courses and workshops in big data, analytics, and Data Science. She is a Data Science instructor at Lynda.com as well.
Lillian Pierson has worked with several public-sector enterprises in the technical domain, such as Dell and Intel, as well as government organizations, including the US Navy. One of the top Data Science influencers in the world, Pierson has authored 3 books by Wiley’s For Dummies brand, including Data Science for Dummies. She also has her own blog and a YouTube channel where she explains key concepts in Data Science.
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Monica Rogati:
Monica Rogati is an independent Data Science and AI advisor. She works with many organizations to help them address their technical and strategic data and AI needs. As an independent Data Science advisor, Rogati advises companies on building intelligent data products and teams; machine learning, AI, and infrastructure finding stories in the data, recommender systems, data as a strategic asset, and technical due diligence. She is the former VP of data at Jawbone and a former Data Scientist at LinkedIn.
Previously Monica has been an Advisor to the Stanford University’s Mobilize Center (an NIH Big Data Center), and a guest lecturer at the Graduate School of Business and several undergraduate classes. As the Vice President of Data in Jawbone, Monica Rogati built a team of world-class, full stack Data Scientists, and engineers. Her team used data to make smart, personalized and contextualized suggestions. Monica’s team also built and maintained product & analytics infrastructure, shipped production code, designed & implemented the metrics, experiments, and instrumentation, and conceptualized interactive visualizations.
With a strong background in applied machine learning, Data Science, wearables and health, social network analysis, recommender systems, statistical text mining and multilingual information retrieval, Monica Rogati is an oft-quoted name among the top Data Science influencers in the world. She has been ranked among Fast Company’s 100 most creative people in business and Fortune Magazine 2014.
Rogati, one of the top Data Science leaders in the world has also been a brilliant student. A first-class first graduate from her class, Monica did her bachelors in Computer Science from The University of New Mexico. Soon after, the young Data Scientist completed her master’s degree and Ph. D from Carnegie Mellon University.
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Bob Hayes:
Bob hayes
Bob Hayes, counted among the top data influencers in the world is the President of Business Over Broadway (B.O.B.). At B.O.B he focusses on solving business problems, through the application of the scientific method. Bob’s interest areas are customer experience, Big Data, and analytics. Prior to Business Over Broadway, he has held key roles in Feedback Systems, Gleanster, Mob4Hire, and Appuri. A Ph.D. in Industrial Psychology, Bob Hayes is one of the youngest luminaries in Data Science. Bob Hayes is a tech blogger and fitness freak when he is not a Data Scientist.
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Bernard Marr:
Bernard Marr, founder, and CEO of the Advanced Performance Institute is ranked among the top Data Science leaders in the world. Businesses and government organizations often reach out to him for better insights on Big Data. Bernard Marr is one of
the key Data Science contributors to the World Economic Forum and is recognized by LinkedIn as one of the world’s top 50 business influencers.
A keynote speaker, and author, Bernard Marr has published many articles about big data and analytics regularly on Forbes. Recognized as one of the top Data Science thought leaders in the world today, Bernard Marr has written several seminal books and over 500 reports and articles, including the international best-sellers like Big Data, Key Performance Indicators, and The Intelligent Company
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Kira Radinsky:
Kira Radinsky is the founder and CTO of SalesPredict, which offers artificial intelligence-based, predictive analytics applications optimize business operations. In her previous role as the Chief Scientist (IL) & Director of Data Science at eBay, Kira was responsible for building the next generation predictive data mining, deep learning, and natural language processing solutions to transform eCommerce.
Prior to this, Radinsky has been a Visiting Professor at Technion – Israel Institute of Technology, where she taught Deep Learning and Natural Language Processing.
The young achiever has also been a board member of several prestigious organizations like Israel Securities Authority, Maccabi Health Data Science Institute, and HSBC. This apart, Kira Radinsky has won many awards and has been recognized by Forbes 30 Under 30 as a rising star of enterprise technology.
Kira Radinsky. One of the most promising Data Science influencers in the world, Radinsky maintains a tech blog, where she writes about the application of predictive analytics and contributes regularly to the Harvard Business Review.
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Andrew Ng:
Andrew Ng, currently serving as the Information Protection Lead, Associate Partner, EMEIA, at EY is one of the top Data Science influencers in the world. Having spent more than a decade in the data industry as a credible security practitioner, Andrew is a global thought leader in Data Loss Prevention (DLP). Prior to EY, he has held the position of Director of Cyber Risk Services at Deloitte and Enterprise Security Sales Specialist at Symantec. At Deloitte, his work focused on EMEA Information Protection Practice, Cyber Alliances, and Cyber Managed Security Services.
Andrew is also the co-founder of Coursera, an adjunct professor of computer science at Stanford University, and headed the AI group at Baidu, earlier. During his brief tenure at Google, Andrew played the primal role in the ‘Google Brain’ project, which involved the development of massive-scale deep learning algorithms. He has authored (or co-authored) more than 100 research papers in the areas of machine learning and robotics.
These success stories of the top Data Science influencers are inspiring many more young minds to take up big data and data analytics as a full-time career. Many are even making career switches from other streams for a promising career in Data Analytics. Exceptional knowledge of data management, machine learning, and natural language processing solutions and leadership skills are some of the essential requirements for a career in Data Science. But what you also need, is a Data Analytics course.
Data Analytics Course by Digital Vidya includes interactive tutorials, training videos, exercises, and allows students to interact with trainers. You will be required to complete weekly projects. In addition, you will have lifetime access to course matter, 24×7 faculty support, expert advice from industry stalwarts, and assured placement support that prepares them for better jobs.
