Eunjee Na

Analytics Engineer @ SoundHound

About Eunjee Na

Eunjee Na is an Analytics Engineer at SoundHound Inc., where she has worked since 2019 after serving as a Language Data Specialist for eight months. She holds a Bachelor's degree in Statistics from the University of California, Berkeley, and has experience in developing deep learning models and implementing monitoring systems.

Work at SoundHound

Eunjee Na currently serves as an Analytics Engineer at SoundHound Inc., a position held since 2019. In this role, she focuses on data analysis and engineering tasks that support the company's analytics initiatives. Prior to her current position, she worked as a Language Data Specialist at SoundHound from 2018 to 2019 for eight months. During her tenure, she contributed to various projects, including data retrieval for search and autocomplete functionalities, as well as query suggestions.

Education and Expertise

Eunjee Na earned a Bachelor's degree in Statistics from the University of California, Berkeley, where she studied from 2016 to 2018. Prior to that, she attended Diablo Valley College, focusing on Mathematics from 2013 to 2015. Her educational background provides a strong foundation for her work in analytics and data science, equipping her with the necessary skills to analyze complex data sets and develop statistical models.

Background

Eunjee Na has a background in data analytics and engineering, with a focus on machine learning and data visualization. Her experience includes implementing monitoring systems and alerting mechanisms for Houndify's Kafka topic jobs and metrics. She has also developed deep learning models for intent detection and query analysis, which are critical for enhancing user interactions on the platform.

Achievements

At SoundHound Inc., Eunjee Na has made significant contributions to the Houndify platform. She implemented a monitoring system to track metrics and detect anomalies in traffic. Additionally, she was involved in the development of personalization features, such as recommendations, and played a role in the billing and analytics processes for Houndify developer platform users. Her work also includes generating reports and insights using data visualization techniques for ad targeting and campaigns.

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