Shanu is a budding Data Scientist with Fraud Investigation and eDiscovery Services, Ernst and Young. His primary role is to use his expertise in machine learning and big data technologies to assist the team come up with solutions to complicated problems involving but not limited to data mining, prediction algorithms, topic modeling and data analytics.
He loves to keep himself updated on machine learning algorithms, artificial intelligence, deep learning, data visualization, programming and scripting languages, web technologies, statistics and is really fascinated by the latest developments in Open Source market.
Prior to joining Ernst and Young he was a core member of big data developer...