Sri Krishnamurthy

Sri Krishnamurthy
Session - Time
Sri is the founder of, a data and quantitative analysis company. He has more than 10 years experience in analytics, quantitative analysis, statistical modeling and software development. He is a quantitative specialist with significant experience in designing data mining and analytic systems for some of the world’s largest asset management and financial companies. He is a regular columnist in the Wilmott magazine, a magazine for quants and as an adjunct lecturer, teaches Data Science, Analytics and Quantitative methods at Babson College and Northeastern University.
High Dimensionality in Large Datasets

Many data sets are characterized by large number of dimensions. High-dimensional data sets increases the complexity of analysis and requires sophisticated techniques to process these data sets. In this talk, we discuss analytical techniques and methods to reduce dimensions in data sets. This talk is based on the article we published in the Wilmott magazine and is accessible at
Data Science & Engineering