Palo Alto, CA (PRWEB) July 17, 2014
ScoreData Corporation today welcomed IBM veteran Dr. K. Moidin Mohiuddin to its team as Chief Technology Officer.
Dr. K. Moidin Mohiuddin is a proven technology leader in Information Science and Technology R&D. He spent most of his career with IBM Almaden Research Center (1982 – 2013), and was the Associate Director of the center from 2006 to 2013. He led the research and development of pattern recognition and machine learning technology for a number of products at IBM – Intelligent Forms Processing, FlatsVision Mail Sorter, and ParcelVision Mail Sorter. He played a crucial role in IBM winning major contracts in the US and Europe.
Dr. Mohiuddin led technology development for IBM’s Storage Systems products such as IBM San Volume Controller product, IceCube Storage System, Adaptive Replacement Caching technology, etc., as the senior manager of the Storage Systems department at the Almaden Research Center. Moidin and his team have won the Computer World Horizon award for the most innovative technology in 2006 for the IceCube Storage System.
He has also won numerous Outstanding Technical Achievement and Outstanding Innovation Awards from IBM. He is an expert in Pattern Recognition, Machine Learning and Computer Vision. He has a number of publications dealing with neural networks, handwriting recognition, contextual analysis, automated forms processing, etc.
"Dr. Mohiuddin has been instrumental in delivering seminal technologies in data analytics to solve hard problems in data and decision sciences for customers. We are pleased to have him join our team" said Vas Bhandarkar, CEO, ScoreData Corporation
Dr. Mohiuddin received his Ph.D. in EE from Stanford University and his B.Tech from IIT Madras. He has served on the editorial boards of the IEEE Transactions on Pattern Analysis and Machine Intelligence, and IEEE Computer. He is a Fellow of the IEEE. Dr. Mohiuddin is a Charter Member of TiE and is active with the Silicon Valley CTO Forum.
About ScoreData Corporation (http://www.scoredata.com) has developed a state of the art cloud-based Predictive Analytics Platform leveraging it’s deep expertise in developing predictive solutions for consumer facing industries. Our mathematicians and statisticians have built hundreds of unique models for Banking and Financial Services, Telecom, and Retail industries. We have generated hundreds of millions of scores for consumers, on petabytes of data, with hundreds of data attributes, using gigabytes of data to train our models.
ScoreData’s unique proprietary platform has a machine learning engine at the core, which trains a custom model for specific data, with focused human supervision to apply domain knowledge for the specific problem at hand, delivering the best of both the worlds, a custom scorecard developed in near real time ready to be implemented with much shorter times to market as a standard model off the shelf.
Our Scoring models and scorecards have been used in Fraud Detection, Collections and Recovery, Cross-sell and Up-sell, and several other data-intensive applications for some of the largest companies in the world.
TAGS: Data Analytics, Decision Science, Predictive Analytics, IBM, Banking, Financial Services, Telecom, Retail, Almaden Research Center, TiE, Neural Networks, Pattern Recognition, Computer Vision