Neha Shitut
Neha Shitut
Neha is a Senior Faculty at Jigsaw, holds a Masters in Econometrics and Financial Economics and Bachelors in Economics and Applied Statistics from University of Mumbai. With 9 years of professional analytics experience under her belt, 6 of which were in Retail Analytics at Genpact LLC, she has a thorough understanding of Statistical Predictive Modelling techniques and their application including Marketing Mix, Store Group Analysis and Pricing and Promotion studies. She is well equipped in SAS, R, Applied Statistics, Applied Econometrics, Regression, Clustering, Decision Tree, SAS Macros, SQL and has over 500+ hours of teaching to her credit. She believes herself to be a lifelong learner and takes a special interest in yoga and meditation. She volunteers at Ananda Sangha, an NGO based on spiritual teachings where she manages online meditation courses and webinars on several topics on integrating spirituality into daily life.
Neha Shitut's Posts (27)
Traditional data analysis fails to cope with the advent of Big Data which is essentially huge data, both structured and unstructured. Much more is nee
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It's not enough to say that today’s age is that of technology. With the advent of technology what we now have access to is data. Hence its right to
Category :
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Machine Learning has wide business applications across various domains. Most popularly Machine Leaning is used in recommendation engines, fraud detect
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In today’s world, we have access to a humungous amount of data. Thus we have a lot of job opportunities in the market for those who have the skills
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There is quite a bit of an overlap in the packages used for traditional analytics and machine learning. Unlike traditional analytics which only focuse
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SAS is one of the most extensively used programming languages in Business Analytics. As a subject matter expert, I have trained more than 500 student
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Linear Regression is a statistical modelling technique used to derive relationships between independent variables and t
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There are three components required to make an expert business decision based on data :
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