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.
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Data Scientist IiResultantRedmond, Wa, Us -
Data ScientistResultant Jan 2024 - PresentIndianapolis, Indiana, Us -
Software EngineerMateria Technologies Llc Jul 2023 - Present1. 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 insights, driving a 30% increase in user engagement.3. Seamlessly integrated and managed AWS infrastructure, with a keen focus on S3 deployments. Successfully stored and managed terabytes of data, ensuring 99.99% uptime and optimal cost efficiency.4. Designed and optimized RESTful APIs, which became the backbone of MATDASH's data exchange across platforms. These APIs facilitated over a million calls per day with less than 0.01% failure rate. -
Research AssistantUniversity Of Virginia Feb 2023 - PresentCharlottesville, Va, Us1. 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 regression, and verified that the estimation ability of the Bayesian regression model on compositional data is sensitive to priors.3. With the proposed Bayesian analysis, compositional data are no longer required to be transformed before model fitting, interpretationbecomes more straightforward. -
R Scientist InternUniversity Of Virginia Jun 2023 - Aug 2023Charlottesville, Va, Us1. 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 developed interactive web applications using Shiny.io, enhancing user engagement and experience.5. Led the development of Shiny Apps for internal use, streamlining processes and improving decision-making.6. Conducted user testing and gathered feedback to make iterative improvements to web applications.
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The Ultimate 2022 Full-Stack Web Development Bootcamp TraineeUdemy May 2022 - Jun 2022San 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. -
Software Engineer InternTencent Jun 2019 - Sep 2019Shenzhen, 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
Yunli（Lily） Liu Education Details
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University Of VirginiaComputer Science -
Shanghai Maritime UniversityComputer Science
Frequently Asked Questions about Yunli（Lily） Liu
What company does Yunli（Lily） Liu work for?
Yunli（Lily） Liu works for Resultant
What is Yunli（Lily） Liu's role at the current company?
Yunli（Lily） Liu's current role is Data Scientist II.
What schools did Yunli（Lily） Liu attend?
Yunli（Lily） Liu attended University Of Virginia, Shanghai Maritime University.
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