Arup Das, Advisor and Chief Analytics Translator

Arup Das is Advisor and Chief Analytics Officer at Machine Analytics. With domain expertise in financial services, including hedge funds, and law firm business process and technology, he is responsible for working with C level executives to articulate complex tech talk into simple actionable business insight. Arup has vast experience and understanding of the business process and operations to create business solutions for a strong competitive advantage. He partners with the data sciences team at machine analytics to map these solutions to the algorithmic framework, creating the required business solutions. Arup is a key member of the team, involved in enhancing features of the algorithmic framework, conducting training lectures on machine learning, and authoring thought leadership papers on topics like IoT, data fusion and text mining.

Arup Das served as the CEO of Alphaserve Technologies. Alphaserve is a global technology service provider serving the financial services, law firms, healthcare and media industries. At Alphaserve he leads investor relationships, corporate strategy, product innovation, sales, marketing, consulting and oversees all aspect of operations including service delivery, accounting, finance and human resources.

Mr. Das has founded three successful, venture capital and private equity-backed technology services companies. One venture-backed firm was a pioneer in providing a cloud computing platform in 1999, raising 26 million dollars. Overall, his companies have raised over 35 million in venture capital and private investor funding.

Arup has an MBA from Cornell University, a Masters and Bachelors in Computer Engineering from the State University of New York at Stony Brook and is currently completing his Masters in Analytics from Villanova University.

Subrata Das, Chief Data Scientist

Subrata Das photoDr. Subrata Das is the founder of Machine Analytics and is a well-known expert in the fields of data fusion, computational intelligence, and business analytics. Subrata’s technical expertise includes theory of probability of statistics, mathematical logic, probabilistic and other formalisms for handling uncertainty, symbolic argumentation, graphical modeling, particle filtering, natural language processing, intelligent agents, and a broad range of computational artificial intelligence and machine and deep learning techniques.

Subrata spent two years in Grenoble, France, as the manager of over forty researchers in the document content laboratory at the Xerox European Research Centre. Subrata guided applied analytics research and development in the areas of unstructured data analyses, machine translation, image processing, and decision-making under uncertainty. Subrata was one of the five-members in the high-profile Xerox task force Knowledge Work 2020, alongside colleagues from the Palo Alto Research Center (PARC), to explore a strategic vision of the future of work. .

Before joining Xerox, Subrata held the Chief Scientist position at Charles River Analytics in Cambridge, MA, where he led many fusion and analytical projects funded by DARPA, NASA, and various branches within the US Department of Defense (DoD), including the Army, the Office of Naval Research (ONR) and the Air Force Research Lab (AFRL). He has also extensively collaborated with various universities around the world. In the past, Subrata held research positions at Imperial College and Queen Mary and Westfield College, both part of the University of London, where he researched in the health informatics domain. He received his PhD in Computer Science from Heriot-Watt University in Scotland, a Master’s in Mathematics from the University of Kolkata, and an M.Tech from the Indian Statistical Institute.

Subrata is the author of the books High-Level Data Fusion, published by the Artech House, Foundations of Decision Making Agents: Logic, Modality, and Probability, published by the World Scientific/Imperial College Press, and Deductive Databases and Logic Programming, published by Addison-Wesley. Subrata has also co-authored the book entitled Safe and Sound: Artificial Intelligence in Hazardous Applications, published by the MIT Press (Nobel laureate Herbert Simon wrote the foreword of the book). Subrata’s latest book is Computational Business Analytics to be published by Chapman and Hall.

Subrata is a regular contributor, a technical committee member, a panel member, and a tutorial lecturer at the International Conference on Information Fusion. Subrata has published many conference and journal articles, edited a journal special issue, and regularly gives seminars and training courses based on his books. Subrata is proficient in multiple programming languages including Java, C++ and Prolog, and in various database systems. He has conceived and developed in-house tools aText, iDAS and RiskAid that provide underlying engines of the Machine Analytics products

Matthew MacartyMatt Mcarty photo

Matthew Macarty is a member of the Machine Analytics training team. Matthew is currently an adjunct faculty of Whittemore School of Business and Economics, University of New Hampshire and Bentley University.

Matthew is teaching business statistics and quantitative methods to both graduate and undergraduate students. He is teaching Quantitative Methods using the Crystal Ball risk analysis suite covering topics such as deterministic and probabilistic modeling, forecasting, Monte Carlo simulation, decision analysis, optimization and analytical tools. Matthew is also teaching Business Statistics using SPSS covering descriptive statistics, probability, sampling and sample distributions, hypothesis testing, and regression analysis.

Matthew was principal of an early stage venture capital consulting and research organization. Matthew’s previous positions include Research Associate in the Center for Venture Research, University of New Hampshire, and Marketing Director and Technical Consultant for Emerson Ecologics, Bedford, NH. Matthew completed a Master in Business Administration from Whittemore School of Business and Economics, and a Bachelor of Science in Biology and Nutritional Sciences from the University of New Hampshire.