Exploring the Data Science Process w/ Vishal Patel

May 16, 2017 · Richmond, United States of America

Exploring the Data Science Process

Building accurate and timely machine learning models is not enough. It is important to ensure that analysis is aligned with the business objective to make sure that the results are useful. The entire data science process can be organized into multiple steps/phases, and it is helpful to establish a standardized workflow for team members to collaborate effectively. Over the years, there have been multiple attempts to create such a standard process for data science, e.g., CRISP-DM (Cross Industry Standard Process for Data Mining) and TDSP (Team Data Science Project). In general, they all start with a business question and end with the implementation of the model.

In this presentation, I will provide a detailed walk-through of six phases of the data science process. I will emphasize certain parts of the process that are specifically relevant and interesting to the members of the Data Hackers community. We will not be discussing any specific machine learning techniques or the hottest new tool in market, but we will explore the data science process from a bird’s eye view. I will use some examples, take occasional detours, and dig deeper into some interesting areas to better understand how the different pieces of the data science puzzle fit together. The objective of this presentation is to introduce various steps/phases of the data science process that will help think about data science more systematically.

About Vishal

Vishal Patel is a data science consultant with over fifteen years of extensive experience in data mining and advanced analytics. He has worked as a lead data scientist across several Fortune 500 clients like McDonald’s, IBM, Sprint, Pizza Hut, Jaguar, Biogen Idec, AARP, Humana, Anheuser-Busch, Green Mountain, and Sears. Vishal holds two Master’s degrees: MS in Computer Science, and MS in Decision Sciences (emphasis on Statistics). Vishal is currently running his start-up, Derive, which focuses on automated advanced analytics products and data science services.

About Data Hackers

RVA Data Hackers meets monthly to hear, present and discuss topics in machine learning & big data. Come on down and help us build Richmond's Data Hacking community.

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  • RVA Data Hackers

    RVA Data Hackers is a community of data professionals and enthusiasts who meet regularly to develop skills and learn about tools and techniques for working with data. We discuss how to find, organize, understand and serve data sets large and small. We'll cover anything related to 'big data' -- machine learning, artificial intelligence and architectures to scale data processing for the Internet. If you're interested in machine learning algorithms, data analysis, natural language processing, or managing big

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