Data Bytes cover image

Data Bytes

The Future of MLOps and NLP with Chengyin Eng

Jun 16, 2022
27:14

Overview

Chengyin Eng is a Senior Data Science Consultant at Databricks. In this episode, we chat about how her experience researching tree mortality has influenced the way she thinks about ML today, how MLOps is quickly evolving, and the challenges and opportunities in the road ahead. Finally, we dive into NLP and the progress, the challenges, and the areas Chengyin is most excited about. We cover a lot of ground in this episode, but Chengyin keeps it fun and educational. 


About Chengyin Eng

Chengyin Eng is a Senior Data Science Consultant at Databricks. She is experienced in developing end-to-end scalable machine learning solutions for cross-functional clients. She also teaches machine learning courses, including deep learning and ML in production. She holds an MS in Computer Science from the University of Massachusetts, Amherst. Her bachelor's degrees were in Statistics and Environmental Studies from Mount Holyoke College. Outside of work, she enjoys watching crime mystery films, arranging flowers, playing music, and trying out new food recipes.


Social Handles

LinkedIn             https://www.linkedin.com/in/cyeng/
Website              https://www.chengyineng.com



Learn more about our mission and become a member here: https://www.womenindata.org/


--- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode