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Yunli(Lily) Liu Email & Phone Number

Data Scientist II at Resultant
Location: Redmond, Washington, United States 7 work roles 2 schools
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✓ Verified Jun 2026 3 data sources Profile completeness 86%

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Current company
Role
Data Scientist II
Location
Redmond, Washington, United States

Who is Yunli(Lily) Liu? Overview

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Quick answer

Yunli(Lily) Liu is listed as Data Scientist II at Resultant, based in Redmond, Washington, United States. AeroLeads shows a matched LinkedIn profile for Yunli(Lily) Liu.

Yunli(Lily) Liu previously worked as Data Scientist at Resultant and Software Engineer at Materia Technologies Llc. Yunli(Lily) Liu holds Master'S Degree, Computer Science from University Of Virginia.

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Email format at Resultant

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Resultant

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Profile bio

About Yunli(Lily) Liu

I am a data scientist intern at a local start-up, where I apply my machine learning and image analysis skills to solve real-world problems. I graduated from the University of Virginia's master's degree program in computer science in December 2022, with a focus on building and maintaining predictive deep-learning neural networks.I have a strong foundation in various programming languages, such as Python, MATLAB, Java, C++, C#, and SQL, and I am proficient in using frameworks and tools like PyTorch, Tensorflow, Hadoop, and Spark. I also have experience in creating interactive web applications using Shiny.io and R Markdown. I am passionate about learning new technologies and techniques, and I am eager to find opportunities in software engineering or data analytics. I value collaboration, innovation, and impact, and I am ready to contribute to any prospective employer with my passion, dedication, and broad skill set.

Current workplace

Yunli(Lily) Liu's current company

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Resultant
Resultant
Data Scientist II
Redmond, WA, US
AeroLeads page
7 roles

Yunli(Lily) Liu work experience

A career timeline built from the work history available for this profile.

Data Scientist Ii

Redmond, WA, US

Data Scientist

Current

Indianapolis, Indiana, US

Jan 2024 - Present

Software Engineer

Current

1. Led a specialized team in architecting, developing, and optimizing complex web applications using Python and Django. Successfully implemented advanced authentication and authorization modules, resulting in a 99.9% secure environment.2. Pioneered the development of state-of-the-art Dash applications, translating complex data into interactive visual.

Jul 2023 - Present

Research Assistant

Current

Charlottesville, VA, US

1. Conducted Bayesian linear regression compositional data analysis using Bayesian Lasso and Bayesian SSL, working effectively on variable selection with both high and low-dimensional compositional data.2. Evaluated a sensitivity analysis to systematically evaluate the influence of different priors on parameter estimation in compositional linear.

Feb 2023 - Present

R Scientist Intern

Charlottesville, VA, US

1. Utilized R and SQL to clean, transform, and analyze large datasets, improving data quality and integrity.2. Implemented data preparation techniques to support machine learning models and statistical analyses.3. Created detailed documentation using R Markdown, ensuring clear communication of project goals, methodologies, and outcomes.4. Designed and.

Jun 2023 - Aug 2023

The Ultimate 2022 Full-Stack Web Development Bootcamp Trainee

San Francisco, CA, US

  • Created fully-fledged personal profile websites and web apps using JavaScript ES6+, Bootstrap 5, Django, and Postgres framework.
  • Developed user interfaces using the JSP framework with AJAX, HTML, XHTML, and CSS to make the app operation fast.
  • Conducted unit and load testing for high-profile customer-facing applications, which reduced the system failure rate by 70%.
  • Deployed the code using Docker and GitHub Actions to the AWS EC2 server to manage applications and services.
May 2022 - Jun 2022

Software Engineer Intern

Shenzhen, Guangdong, CN

  • Applied applications of React JS, Redux, and React Router throughout customer services system used by millions of users
  • Optimized service request submitting component using debouncing, reduced server load due to repeating submission
  • Applied throttling and lazy-loading, reduced loading time of service receipt searching page by nearly 18%
  • Collaborated with the design group, applied SASS, a pre-processor of CSS in a front-end production environment
Jun 2019 - Sep 2019
2 education records

Yunli(Lily) Liu education

Master'S Degree, Computer Science

University Of Virginia

Bachelor Of Engineering - Be, Computer Science

Shanghai Maritime University
FAQ

Frequently asked questions about Yunli(Lily) Liu

Quick answers generated from the profile data available on this page.

What company does Yunli(Lily) Liu work for?

Yunli(Lily) Liu works for Resultant.

What is Yunli(Lily) Liu's role at Resultant?

Yunli(Lily) Liu is listed as Data Scientist II at Resultant.

Where is Yunli(Lily) Liu based?

Yunli(Lily) Liu is based in Redmond, Washington, United States while working with Resultant.

What companies has Yunli(Lily) Liu worked for?

Yunli(Lily) Liu has worked for Resultant, Materia Technologies Llc, University Of Virginia, Udemy, and Tencent.

How can I contact Yunli(Lily) Liu?

You can use AeroLeads to view verified contact signals for Yunli(Lily) Liu at Resultant, including work email, phone, and LinkedIn data when available.

What schools did Yunli(Lily) Liu attend?

Yunli(Lily) Liu holds Master'S Degree, Computer Science from University Of Virginia.

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