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Applications of Data Science

Posted Mar 10, 2022 | Views 846
# Automate Data
# Infrastructure
# Data Science
# Pallet.com
# Pallet
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Connie Yang
Lead Data Scientist @ Pallet

At Pallet, Connie has been leading various data science work streams on integrating machine learning, intelligence, and automation into the entire Pallet product--including creating multi-label, multi-class auto labeling machine learning models deployed as cloud-native APIs to be integrated into Pallet backend, creating holistic and diagnosable health scores for various stakeholders and scaling out Pallet's data collection system.

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Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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SUMMARY

How do we effectively integrate and utilize data science in mature engineering and business systems?

Connie talks about her experience in how this can be done, drawing from both experiences in Big Tech and leading the data efforts at an early-stage tech startup.

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