Akira is a renowned data scientist in Japan who led the growth of DataRobot Japan as CEO until June 2021. His background in entrepreneurship (Shiroyagi Corporation), strategy consulting (BCG), experimental particle physicist (LHC, CERN) gives him a unique edge to develop business potential of AI and data technologies. He has worked with over a hundred companies in deploying advanced analytics and digital transformation projects. His active podcast and blog can be found through the links.
MLOps for Musicians(Talk)
Ray is a Customer Success Data Scientist at WhyLabs, the AI Observability company. He has a long held passion for machine learning and loves helping customers save time and money by monitoring their ML systems at scale. Ray was formerly a Senior Success Engineer at Datorama, a Salesforce Company, where he drove success for large enterprise customers with a focus on improving query performance across the company. With his spare time, Ray enjoys hiking, music, and more hiking.
Setu is a senior technical leader, innovator and specialist in machine learning and artificial intelligence. He has led and implements machine learning products at scale for various companies.
Microsoft’s Accelerator for MLOps(Workshop)
Dr. Huong Ha is currently a Lecturer at the Artificial Intelligence Discipline, School of Computing Technologies, RMIT University, Melbourne, Australia. Her research is in the areas of Artificial Intelligence and Software Engineering, particularly trustworthy machine learning, automated machine learning, and data-driven software engineering. She regularly publishes her works in the leading international research venues in these areas including NeurIPS, ICML, AAAI, AISTATS, ICSE, and ICSME. In addition to her current role in academia, Huong has previous working experience in the industry as a data scientist and a product development engineer.
Sudeep George is the Vice President of Engineering at iMerit, where he develops production-ready frameworks for a data-centric approach to machine learning. He has a strong background in imaging sensors, computer vision and has built and manufactured multi-sensor computational imaging platforms for several market verticals.
Hui Xiang Chua is Senior Data Scientist at Dataiku, helping enterprises with data democratization and enabling them to build their own path to AI. Dataiku is a 2x Gartner Magic Quadrant Leader for Data Science and Machine-Learning Platforms (as of 2021).
She has both public and private experiences solving problems using data, namely over six years in the public service and two years in the media industry. She was also previously an instructor with General Assembly.
In 2017, she was accepted to the Data Science for Social Good Fellowship and was mentored by Rayid Ghani, Chief Scientist of the Obama for America campaign in 2012. For bringing data science into a high school’s curriculum, Hui Xiang was a recipient of the KDD Impact Program award by SIGKDD, the Association for Computing Machinery’s special interest group on knowledge discovery and data mining. She also runs a data science blog called Data Double Confirm that was recognised as 2018/2019 Top 100 Data Science Resources on MastersInDataScience.com.
Hui Xiang holds a B.Sc.(Sons) in Statistics and M.Sc. in Business Analytics from National University of Singapore.
Chip Kent is the chief data scientist at Deephaven Data Labs. He holds a Ph.D. from CalTech, with decades of quantitative, mathematical, and computer science experience. Chip comes from a background in quantitative private investment, using data to make investments at Walleye Capital.
Ian Hansel is a Director of Verge Labs, a company empowering businesses through Machine Learning and Artificial Intelligence. Verge Labs bridges the gap between business and cutting-edge research applications. Ian has lead data teams in corporates and believes in taking away the complexity of machine learning to show people how to use amazing technology on their own.
Building Machine Learning Apps(Tutorial)
Jonathan is an Analytics Engineer at Canva where he is building data platforms to empower product teams to unlock insights from millions of users.
He has previously worked at EY, Telstra Purple, and Mantel Group, where he has led data engineering teams, built data engineering platforms for ASX-100 customers, and developed new products and businesses. Since 2020, Jonathan has trained over 100 students through data analytics bootcamps and courses. In 2022, he founded Data Engineer Camp, a 14-week data engineering bootcamp that empowers professionals to become data engineers with the modern data stack.
He also hosts the Perth Data Engineering monthly meetup group with over 300 members.
Thilaksha Silva has obtained a Doctor of Philosophy (PhD) in Statistics from Monash University, Australia. Thilaksha is skilled in data science for electricity distribution, statistics, time series forecasting, predictive modelling and big data analytics. She is adept at advanced data analytics with 10+ years of experience and has mastered in communicating the business value across the business and engaging audience with data science on a deeper level.
Ravi Ranjan is a full-stack Data Scientist working as Manager Data Science at Publicis Sapient. He holds a Bachelor’s degree in Computer Science & Engineering with a proficiency course in Reinforcement Learning from IISc Bangalore. He has professional experience of 8+ years in AI and ML at scale with expertise in building enterprise data solutions and ML Engineering. He is part of the Centre of Excellence and is responsible for building ML products from inception to production. He has worked on multiple engagements with clients mainly from the Automobile, Banking, Retail, and Insurance industries. He is a Google Certified Professional Cloud Architect, blogger, speaker, and mentor.
Sushant has a bachelor’s in Materials Engineering from the Indian Institute of Technology, Kharagpur. He has extensive work experience in Reinforcement Learning, Computer Vision with AR technologies and created end-to-end pipelines and data products from conceptualisation to deployment phase for various engagements. He is currently working as a Senior Data Scientist at Publicis Sapient.
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