DataHour: Developing Machine Learning Pipelines at Scale

About the DataHour:

Developing Machine Learning pipelines that go beyond a Jupyter Notebook is a challenge that most data scientists and data engineers face. Best practices learned over years of experience are usually held by senior data professionals and learned only over years. This talk will explore how to develop a "blueprint" machine learning pipeline that can be applied and reused for most supervised learning applications, developing production-grade code that scales easily.

Who is this DataHour for?

• Students and freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Speaker:

Eugenio Zuccarelli

Manager, Data Science at CVS Health

Eugenio is an AI Leader working at CVS Health, a Fortune 500 company and the #1 healthcare company in the world. He is a Forbes 30 Under 30, Fortune 40 Under 40, TEDx Speaker, WEF Global Shaper, and studied across MIT, Harvard, and Imperial College. Eugenio’s analyses helped develop policy recommendations for the White House, the UN, CEOs, and leading research institutions to take action in key situations, such as the fight against the COVID-19 pandemic.

He is a regular contributor for several news outlets including HBR, Forbes, Fortune, MIT Sloan Management Review, and Wired as well as multiple journals, and is a Keynote Speaker and Guest Lecturer (Harvard, etc.). Eugenio is the recipient of 15+ honors and awards, including the John McCarthy Award for contributions to AI, the ISPI / BCG Future Leaders Award, LinkedIn Top Voice, CDO Magazine 40 Under 40, Boston Congress 40 Under 40, and a Nova Talent of the Year. Featured in Forbes, Fortune, The Washington Post, Bloomberg, The Financial Times as well as several TV programs, radio shows, and podcasts.

Connect with Eugenio on Linkedin