Management

Datacast Episode 69: DataPrepOps, Active Learning, and Team Management with Jennifer Prendki

Datacast Episode 69: DataPrepOps, Active Learning, and Team Management with Jennifer Prendki

Dr. Jennifer Prendki is the founder and CEO of Alectio, the first startup fully focused on DataPrepOps. She and her team are on a fundamental mission to help ML teams build models with less data. Before Alectio, Jennifer was the Vice President of ML at Figure Eight. She also built an entire ML function from scratch at Atlassian and led multiple Data Science projects on the Search team at Walmart Labs. She is recognized as one of the top industry experts on Active Learning and ML lifecycle management. She is an accomplished speaker who enjoys addressing both technical and non-technical audiences.

The 4 Steps To Build Out Your Machine Learning Team Productively

The 4 Steps To Build Out Your Machine Learning Team Productively

In this blog post, I would like to share some insights into how to think about building and managing Machine Learning teams if you are a manager, and also possibly help you get a job in Machine Learning if you are a job seeker.

Datacast Episode 22: Leading Self-Driving Cars Projects with Jan Zawadzki

Datacast Episode 22: Leading Self-Driving Cars Projects with Jan Zawadzki

Jan Zawadzki has 6 years of experience at a global consultancy and as a Data Scientist. Jan currently works in the realm of self-driving cars as a Project Lead Data Science for Carmeq GmbH, the innovation vehicle of Volkswagen AG. Jan is passionate about advancing the automotive industry through machine learning and sharing his knowledge in the fields of Business and Data Science. He is a top contributor to the “Towards Data Science” Publication on Medium. He is also a deeplearning.ai Ambassador, supporting the team around Deep Learning Luminary Andrew Ng.

Datacast Episode 20: Managing Data Scientists with Sunanda Parthasarathy

Datacast Episode 20: Managing Data Scientists with Sunanda Parthasarathy

Sunanda Koduvayur Parthasarathy is an Associate Director of Data Science at Wayfair Inc., where she leads a team of data scientists and engineers to build machine learning solutions that lead to a better shopping experience for all Wayfair customers. Prior to this, she was leading data science innovation R&D projects at the ad-tech startup DataXu. Through her career in data science, she has enjoyed bringing quantitative definition and clarity to unwieldy strategic business questions that have led to multiple high-revenue products.