Sandipan Dey is a data scientist with a wide range of interests, covering topics such as machine learning, deep learning, image processing, and computer vision. He has worked in numerous data science fields, working with recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in computer science from the University of Maryland, Baltimore County, and has published in a few IEEE Data Mining conferences and journals. He has earned certifications from 100+ MOOCs on data science, machine learning, deep learning, image processing, and related courses/specializations. He is a regular blogger on his blog (sandipanweb) and is a machine learning education enthusiast.
I am grateful to the excellent online courses provided by top schools across the globe over the last few years. Few of them are: Image processing (@Coursera by Duke, Northwestern), Computer vision and image analysis (@edX by Microsoft), Computational photography (@Coursera by Georgia Tech), Machine learning (@Coursera by Stanford, University of Toronto; @edX by UCSD), Deep learning (@Coursera by deeplearning.ai; @Udacity by Google).
Nikhil Borkar holds a CQF designation and a postgraduate degree in quantitative finance. He also holds the certified financial crime examiner and certified anti-money laundering professional qualifications. He is a registered research analyst with the Securities and Exchange Board of India (SEBI) and has a keen grasp of the Indian regulatory landscape pertaining to securities and investments. He is currently working as an independent FinTech and legal consultant. Prior to this, he worked with Morgan Stanley Capital International (MSCI) as a global RFP project manager.
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