Sep 23–26, 2019
Subhasish Misra

Subhasish Misra
Data Scientist, Walmart

Subhasish Misra is currently a Data Scientist at Walmart Labs where he leads efforts to create scalable machine learning solutions for Walmart’s customer base. Alongside this, he is also a member of the global data science board at i-com, a cross industry global think tank on harnessing data & analytics for better marketing.
Subhasish has previously worked at Hewlett Packard Co, WPP & Aon and consulted for many Fortune 500 clients across multiple geographies in his 12 years of advanced analytics career.
His broad expertise lies along a wide spectrum of marketing analytics & current data science interest areas are around modeling customer behavior & causal inference.
Subhasish holds a M.A in Economics from Delhi School of Economics, where econometrics was one of his focus areas.

Sessions

5:25pm6:05pm Wednesday, September 25, 2019
Location: 1A 12/14
Secondary topics:  Retail and e-commerce
Subhasish Misra (Walmart )
Causal questions are ubiquitous. Randomized tests are considered to be the gold standard for these. However, such tests are not always feasible and then, one just has observational data to get to causal insights. Techniques such as matching offer a solve then. This talk will offer a take on the above aspects, plus share practical tips when trying to infer causal effects. Read more.

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