R&D Data Scientist, Accenture Labs
Zaid Tashman is a R&D data scientist at Accenture Labs exploring new research problems in the areas of probabilistic programming, casual inference, and stochastic optimization. Zaid has a progressive experience in recommendation systems, customer behavior analysis, survival modeling, failure time prediction, hierarchical Bayesian networks, and anomaly detection. Previously, Zaid was a senior data scientist at ABB where he led the analytics efforts within ABB’s IoT platform serving all of their business units and a senior data scientist at Spacetime Insights, a Silicon Valley IoT startup where he successfully led and completed many machine learning projects in areas of predictive maintenance, anomaly detection, fraud detection, and optimization. Zaid holds a MSc in electrical engineering from Washington State University.
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