Nick Reeves
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Nick Reeves Email & Phone Number

Data Science | Machine Learning | Audio Processing
Location: Greater Seattle Area, United States 4 work roles 2 schools
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Role
Data Science | Machine Learning | Audio Processing
Location
Greater Seattle Area, United States

Who is Nick Reeves? Overview

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Nick Reeves is listed as Data Science | Machine Learning | Audio Processing based in Greater Seattle Area, United States. AeroLeads shows a matched LinkedIn profile for Nick Reeves.

Nick Reeves previously worked as Data Scientist at Intuitive and Insights Analyst at Intuitive. Nick Reeves holds Master Of Science - Ms, Sound And Music Computing from Queen Mary University Of London.

Profile bio

About Nick Reeves

I am a data scientist and programmer with a focus on machine learning, statistics, and audio processing. I am particularly interested in methods for extracting insights from unstructured data and creating systems that model complex perceptual tasks. My experience in analytics and data engineering spans healthcare, robotics, and technology, providing me with a robust foundation to tackle complex challenges across a broad range of domains. Speech Enhancement, Speaker Source Separation, Automatic Speech Recognition, Music Information Retrieval, Differentiable Digital Signal Processing, Generative Audio, Machine Translation

4 roles

Nick Reeves work experience

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Data Scientist

Sunnyvale, California, United States

Jan 2023 - Aug 2023

Insights Analyst

Nov 2020 - Jan 2023

Data And Reporting Analyst

Jun 2020 - Nov 2020

Financial Analyst Intern

Jun 2019 - Sep 2019
2 education records

Nick Reeves education

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What is Nick Reeves's role at their current company?

Nick Reeves is listed as Data Science | Machine Learning | Audio Processing.

Where is Nick Reeves based?

Nick Reeves is based in Greater Seattle Area, United States.

What companies has Nick Reeves worked for?

Nick Reeves has worked for Intuitive and Solutran.

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What schools did Nick Reeves attend?

Nick Reeves holds Master Of Science - Ms, Sound And Music Computing from Queen Mary University Of London.

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