Anmolika Singh
Data Scientist at Stanley Black & Decker
Expertise: Machine learning, Python, R and data analytics
Education: The Pennsylvania State University

Anmolika Singh is a data scientist for Stanley Black & Decker. She’s an experienced data scientist skilled in machine learning, Python, R and data analytics. Singh earned her bachelor’s degree from The Pennsylvania State University. 

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2 Articles
Researcher reviewing statistical results of a test
Guide to Power Analysis and Statistical Power
Power analysis is a process that involves evaluating a test’s statistical power to determine the necessary sample size for a hypothesis test. Learn more.
data scientist reviewing data models on computer
Agent Based Modeling: Techniques and Applications
Agent-based modeling (ABM) is a computational modeling technique that mimics how an individual agent behaves with an environment to simulate the overall system behavior. Here’s what to know.