Apra Partner Webinar: Why Feature Engineering is Vital for AI
Recorded On: 09/08/2021
Machine learning & AI can be powerful tools for enabling data-driven fundraising, but they can also be incredibly complex.
Join Windfall’s Arup Banerjee for a deep dive into feature engineering. In this session, Arup will examine the nuances of machine learning models and the important role that feature engineering plays.
Hosted with APRA, this session explores:
• How machine learning helps nonprofit organizations
• What feature engineering is and how you can leverage it
• Important advantages, drawbacks, and gotchas around feature engineering
• Simple steps to leverage feature engineering today
• How to implement machine learning models
This webinar is worth (1) CFRE point.
Arup Banerjee is the CEO and Co-Founder of Windfall, a data company that helps nonprofits identify, understand, and engage the affluent. Arup has over 15 years of experience building data-related technology companies. Prior to Windfall, Arup served as SVP, Product at Radius, a B2B predictive marketing company that raised over $125 million. Earlier in his career, Arup helped build out technical infrastructure and analytics frameworks at GoodData, a cloud-based business intelligence company based out of San Francisco. Arup holds degrees in Computer Science and Economics from Duke University and an MBA from the Haas School of Business, UC Berkeley
Staff Data Scientist
Chris has been at Windfall since May 2020, where he is a Staff Data Scientist. Much of his time is dedicated to developing machine learning models to help Windfall's customers meet their goals. Chris now lives in the Bay Area, but grew up in New Jersey and has lived in various places in between New York and DC. Before Windfall, he was employed in a variety of different fields including chemistry, nuclear physics, and autonomous vehicles.