Dr. Michael Brand is the Head and Founder of Otzma Analytics, a Data Science consultancy dedicated to maximizing clients’ value from data by providing analytics upskilling, project review, and executive mentoring. Before founding Otzma in 2018, Dr. Brand served as Chief Data Scientist at Telstra, as Senior Principal Data Scientist at Pivotal, as Chief Scientist at Verint Systems, and as CTO Group Algorithm Leader at PrimeSense (where he worked on developing the Xbox Kinect). Dr. Brand also served as Director of the Monash Centre for Data Science in his role as Associate Professor for Data Science and AI at Monash University, where he remains an adjunct. Dr. Brand holds a Ph.D. in IT from Monash University, an MSc in Applied Mathematics from the Weizmann Institute of Science, and a BSc in Engineering from Tel-Aviv University. He has made industry-defining contributions that have earned him 18 patents (more pending), garnered many prestigious industry and academic awards, and power flagship products for the companies he worked with.
Raghav Bali is a Senior Data Scientist at Optum(United HealthGroup), one of the world’s largest health care organizations. With about a decade’s experience working across Fortune 500 organizations such as Intel and American Express, his work involves research & development of enterprise-level solutions based on Machine Learning, Deep Learning, and Natural Language Processing for real-world use-cases. Raghav has published multiple peer-reviewed papers, has authored over 7 books, and is a co-inventor of multiple patents in the areas of machine learning, deep learning, and natural language processing.
Aditya is a tech enthusiast with more than 7 years of experience across various technologies in data science, machine learning, deep learning and computer vision. He has completed his Masters in Data Science from the National University of Singapore. He has worked across various domains including automotive, banking, retail among others consulting various clients around the globe. He is a true believer of ‘You got to see it work to know it works’ and sets goals towards achieving the same in any of the endeavours he undertakes. Being highly inclined towards technology, he founded Xaltius Pte. Ltd in Singapore which has a major focus on building solutions in Data Science and AI and educating students and professionals in the same areas. He also founded Code for India which specializes in delivering top notch skills in Data Science and AI as required in the
industry today. Apart from work, he loves to engage with kids and get involved in social work.
Dr. Lau Cher Han is a chief data scientist and keynote speaker in data science and A.I for major companies, organisations, and government agencies across Australia, Malaysia, Taiwan and other ASEAN countries.
He has trained and advised many of the organisations including Intel, Standard Chartered, and IBM. He is also keynote speaker in data science conferences for Microsoft, Facebook and Google. As the CEO of LEAD, Dr. Lau’s current focus is on helping clients to grow their data science teams and to gain insights by combining structured and unstructured data. He helps the clients on implementing data analytics and big data strategies, and preparing for the future big data economy.
Hugo Bowne-Anderson is Head of Data Science Evangelism and VP of Marketing at Coiled, a company that makes it simple for organizations to scale their data science and machine learning in Python. He has extensive experience as a data scientist, educator, evangelist, content marketer, and data strategy consultant at DataCamp, the online education platform for all things data. He also has experience teaching basic to advanced data science topics at institutions such as Yale University and Cold Spring Harbor Laboratory, conferences such as SciPy, PyCon, and ODSC and with organizations such as Data Carpentry. He has developed over 30 courses on the DataCamp platform, impacting over 500,000 learners worldwide through his own courses. He also created the weekly data industry podcast DataFramed, which he hosted and produced for 2 years. He is committed to spreading data skills, access to data science tooling, and open source software, both for individuals and the enterprise.
Ravi has professional experience of eight years in AI and ML at scale with expertise in building enterprise solutions and ML Engineering. He is part of the Centre of Excellence and responsible for building ML products from inception to production. He has worked on multiple engagements with clients mainly from Automobile and Retail industry across geographies.
He holds a bachelor’s degree in Computer Science with a proficiency course in Reinforcement Learning from Indian Institute of Science. He is a certified Google Cloud Architect and Kubeflow contributor.
Manprit leads Data and AI offerings and engagements at Avanade. He specialises in helping enterprises in their journey to monetise their data with AI. By adopting a multi-disciplinary, highly collaborative and interactive approach to discover, define and drive rapid value realization he sets up a longer team vision and roadmap for his clients. This helps them realize the business relevance and reality of AI. He then helps build minimum loveable prototypes for them that demonstrate quantitative benefits.
Andi Sulasikin is a Senior/Lead Data Scientist at Jakarta Smart City. Andi has received his bachelor’s degree in Informatics Engineering from Telkom University, Bandung. Then, Andi has accomplished his degree as Master of Science in Information science at Radboud University Nijmegen with an Indonesia Endowment Fund for Education Scholarship (LPDP). Andi even has participated in Summer School Technologies for Future Cities at University College London (UCL), UK with a scholarship from the European Institute of Innovation & Technology (EIT). Prior to Jakarta Smart City, Andi has worked at a Telecommunication Company, Fintech Start-Up, IT Solution Provider Company, and as a data expert for One Data Indonesia at the Ministry of National Development Planning / BAPPENAS.
Andi has a huge passion in Data Science and Smart City, especially how data, machine learning, and digital technology can help in making decisions and bring efficiency in the use of resources, as well as to improve the quality of people’s lives.
Seng-Beng Ho has 9+ years (2009-now) as a Senior Scientist at Temasek Lab, National University of S’pore, and at AI Program & IHPC, A*STAR, S’pore. Initiated project to create a general AI machine learning system with human-like rapid learning ability.
Designed and implemented, with a team of researchers, a Behavior and Intention Understanding System which learns analyzes, and predicts agents’ behavior from video. Led a team that implemented reinforcement learning for a commercial air-combat simulator – the CAE STRIVE-CGF System.
Andrew has international expertise in the areas of machine learning, statistical analysis, cloud computing and AI. He is founding member of the boutique data science consulting firm Datamahi and sports industry specialists Media Rights Value.
Session on ML and Its Applications Coming Soon!
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