Feature Engineering: What It Is & How to Leverage It in Your Data Science Career

In-person Location:
Mobilewalla HQ
5170 Peachtree Road
Building 100, Suite 100
Atlanta, GA 30341

Agenda:
6:00-7:00 pm: Networking with food and beer
7:00-7:15 pm: Welcome and Opening Remarks
7:15-8:15 pm: Presentation
8:15-8:30 pm: Q&A / Goodnight!

Abstract: Predictive modeling success hinges on selecting the features that are most likely to affect the desired outcome and sub-optimal featuring engineering is one of the culprits behind poorly performing models. Today more art than science, feature engineering is a difficult process even for the most experienced data scientist.

During the presentation, we will discuss:

• What is feature engineering and what does the process look like
• Where does feature engineering fit in the machine learning life cycle
• The importance of data pipelines in feature selection
• The downstream modeling impacts of feature selection
• Ways that data scientists can improve this process

Speaker: Anindya Datta, PhD
Dr. Anindya Datta is a leading technologist and innovator with core contributions in best-in-class large-scale data management solutions, artificial intelligence, and internet technologies.

As Founder, CEO, and Chairman of Mobilewalla, Anindya has combined the industry’s most robust data set with deep artificial intelligence and data science expertise to help enterprises better understand, model, and predict consumer behavior.

Prior to Mobilewalla, Anindya founded Chutney Technologies which was acquired by Cisco Systems in 2005. He has been on the faculties of major research universities and institutes in the United States and abroad, including the Georgia Institute of Technology, University of Arizona, National University of Singapore, and Bell Laboratories. Anindya obtained his undergraduate degree from the Indian Institute of Technology (IIT) Kharagpur, and his MS and Ph.D. degrees from the University of Maryland, College Park, he resides in Atlanta.