Salil Mehta

Salil is a top-selling mathematics and statistics book author. Academic statistician, C-suite advisor, and risk strategist. Salil has nearly 19 years of experience, of which a dozen years were on Wall Street, performing proprietary trading and economic research for firms such as Salomon/Citigroup, and Morgan Stanley. He also served 2 years as the group Director of Analytics, in the US Dept of Treasury for the Administration's $700 billion TARP program. He is an adjunct professor in statistics and analytics at Georgetown.

Trump vs Clinton – What are the Odds?

By Salil Mehta, Statistical Ideas on March 7, 2016 in Donald Trump, Elections, Hillary Clinton, Politics
Even with 5% advantage for Clinton, statistical analysis and examining how undecided break towards these candidates, we estimate a 25%-30% chance that Trump would be elected president.
Understanding Rare Events and Anomalies: Why streaks patterns change

By Salil Mehta, Statistical Ideas on January 8, 2016 in Anomaly Detection, Predictions, S&P 500
We often look back at the past year and an overall history of rare events, and try to then extrapolate future odds of the same rare event, based on that. We illustrate here, that rare past events have no usefulness in understanding the rarity of the same events in the future!
Predictive Power of Terror Alerts and Monkeys

By Salil Mehta, Statistical Ideas on January 4, 2016 in Salil Mehta, Security, Statistics, Terrorism
The terrorism threat advisory system was designed to give the public prior warning to when terrorist plots are about to unfold. However, the analysis shows that this system is not more helpful than monkey throwing a dart.
Random vs Pseudo-random – How to Tell the Difference

By Salil Mehta, Statistical Ideas on October 26, 2015 in Correlation, Random
Statistical know-how is an integral part of Data Science. Explore randomness vs. pseudo-randomness in this explanatory post with examples.
Big Data Lessons from Microsoft “how-old” Experiment

By Salil Mehta, Statistical Ideas on May 19, 2015 in HowOldRobot, Image Recognition, Project Fail, Salil Mehta
Salil Mehta examines Microsoft’s viral “How old do I look?” site, the limits of its age recognition, possible algorithms, and implications for Big Data analysis.

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