Predictive Analytics World London
etc.venues, 200 Aldersgate, 11-12 October, 2017
I am currently working as a Data Scientist at Pivotal Labs, London. My role essentially requires me to identify the potential ways to create and deliver value from client’s data. I am focused on developing smart apps by applying machine learning and statistics. I have done my Masters in Machine Learning and HPC form University of Bristol.
Megha Agarwal is speaker of the following session:
Miguel Angel Barros
Miguel Angel Barros is Bachelor in Genetics with a Master degree in Data Mining and Knowledge discovery at University of Buenos Aires.He worked as a data science consulting on Globant , one of the most important company on South America, working on operation research modelling After that, he joined Business Intelligence team at Turner Latino-america. Currently he is working on predictive modelling and customer segmentation models from data coming from social networks sources
Miguel Angel Barros is speaker of the following session:
Sven F. Crone is an Assistant Professor in Management Science at Lancaster University, UK, where his research on forecasting with artificial intelligence has resulted in 40+ peer reviewed articles (including EJOR, JORS, IJF) and received international awards. As the Deputy Director of the Lancaster Centre for Forecasting, with 15 members of staff & PhD students one of the largest units dedicated to business forecasting, Crone has more than 10 years of consultancy experience in corporate projects, including supply chain forecasting (e.g. Beiersdorf, Sanofi-Aventis, Bayer, Celanese, Hapag-Lloyd), retail forecasting (e.g. Tesco, Morrisons, Sainsbury, Wilkinsons), and utilities demand and price forecasting (e.g. DONG, Codelco). Crone regularly provides corporate training courses for the Forecasting Centre, IBF and IEEE worldwide as well as custom-made in-house courses. He has been a regular speaker at 50+ academic and practitioner conferences, including different keynote lectures.
Sven Crone Dr. is speaker of the following sessions:
Alexander Diergarten is speaker of the following session:
Teamlead Data Science
Maximilian Ehrlich is Teamlead Data Science at Scout24, trying to build Data Products to empower their consumers and customers individually with their market knowledge. Therefore, he needs to connect the Data Science, Data Engineering and Product-World as good as possible and continuously searches for opportunities to gain new data insights.
Maximilian Ehrlich is speaker of the following sessions:
John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina and Washington DC. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia, and was named by President Bush to serve 5 years on a panel to guide technology for national security.
John Elder is speaker of the following session:
Operational Research Consultant
Louise Fildes is an Assistant Director in the Operational Research team at EY. The team specialise in advanced use of analytics and decision support modelling. Employing a variety of techniques and methodologies, the team build decision support tools for their clients to make best use of their physical assets or people subject to any number of operational or financial constraints. Louise has over 10 years’ experience in decision support consulting, the last 8 years of which have been at EY. She has an MSc in Operational Research.
Louise Fildes is speaker of the following session:
Big Data Analytics Practice Lead UK&E
Tata Consultancy Services
Biraja Ghoshal is focused on Big Data & Analytics practices and technologies. Mr. Ghoshal assists clients to apply analytic capabilities using big data platform to improve performance and optimize decision making with high-quality, actionable insights. Biraja is also interested in machine learning, cognitive computing and artificial intelligence topics.
Biraja Ghoshal is speaker of the following session:
Computer Science and Applied Mathematics Departments
Alfred received a Ph. D. in Mathematics and Physics from the University of Illinois (Champaign-Urbana) continuing as Research Professor at the Biological Computer Laboratory working on Neural Networks, Cognition, Population Dynamics and Models of Complex Nonlinear Systems. He then held senior research positions at IBM where he developed a Mathematical Model of the Ear(Cochlea) (TIME Nov. 74) and later Collision-Avoidance Algorithms for Air Traffic Control (3 USA patents). Concurrently he had joint appointments at UCLA, USC, Technion and Ben Gurion University. Since 1995 AI is Professor at the School of Mathematical Sciences of Tel Aviv University. He was elected Senior Fellow at the San Diego Supercomputing Center in 1996. He invented and developed the multidimensional visualization methodology of Parallel Coordinates for which he received numerous patents and awards. His textbook on "Parallel Coordinates: VISUAL Multidimensional Geometry", was published by Springer and praised by Stephen Hawking among many others.
Alfred Inselberg is speaker of the following session:
Co-Founder and Managing Partner
Mr. Mlakar is Co-Founder and Managing Partner of R2M Solution with a unique career as a former military officer, a Fortune 100 Division Vice President, and CEO of BiologicsMD. Mr. Mlakar has a B.S. Civil Engineering degree from the United States Military Academy and a M.B.A. from the University of Arkansas.
Paul Mlakar is speaker of the following session:
Elena Sharova is a Data Scientist at Credit Suisse where she is part of the Financial Crime Compliance Analytics team. She actively researches anti-money laundering detection techniques based on machine learning and data-driven approaches. Elena has 7+ years of experience in data analytics, risk management and risk model validation. She has extensive programming background and holds an MSc. in Machine Learning and Data Mining from University of Bristol.
Elena Sharova is speaker of the following session:
Head of Yandex.Metrica
Viktor joined Yandex in 2011, and since 2015 he has been responsible for the development of Yandex’s analytical services – Yandex.Metrica (web analytics) and AppMetrica (app analytics). He has got a solid developer background and likes to steal an hour or two of coding every now and then. Viktor is keen on complex data integrations and the future of omnichannel analytics. He is experienced speaker of international conferences on digital analytics and databases.
Viktor Tarnavsky is speaker of the following session:
Lukas combines industry experience in online experimentation and Data Science with an academic background in computing science and machine learning. Highly motivated, quick-witted, eager to learn, coach and teach, and able to think outside of any given box, Lukas has excellent analytical skills, communicative abilities and technical dexterity. He can unravel the problem, explain the answer and build the solution.Currently employed by Booking.com, the world's leading accommodation website, Lukas is responsible for the internal tooling and training that helps product development improve the customer experience in measurable steps through thousands of experiments.
Lukas Vermeer is speaker of the following session:
A pioneer in developing approaches to help organizations raise customer value and increase loyalty by delivering outstanding customer experience, Phil Winters is known internationally as The Father of Customer Intelligence. Phil draws on 30+ years’ experience working with some 300 companies worldwide defining customer strategies to grow their businesses. He is an independent business advisor, a sought-after keynote
lecturer and a highly effective moderator of customer perspective workshops.
Phil Winters is speaker of the following session:
Grace is currently working as a data scientist at Microsoft, Redmond. She is passionate on building core production for business Artificial intelligence. Grace has 5+ year experience in data analysis and Master\'s degree in computational mathematics and Computer Science at University of Waterloo, Canada. Grace specialized in forming nonlinear dimensionality reduction techniques as probabilistic models. This has many potential uses in fields such as physics, economics, and medicine, where meaningful information must be extracted from large data sets. Working at Microsoft, Grace learns from data to inform decisions and drive both product and business in the cloud division. She is always interested in learning new things, sharing knowledge, and exploring how data can be used to improve all aspects of life and society. Excited to be living in the right time to innovate, Grace is following her passion to use data and technologies to change the world.
Grace Yang is speaker of the following session: