It’s nice to meet you here 😄
Rose Lin currently works as a data scientist in the claims space at State Farm. Graduated from Texas A & M University with a Master degree in Computer Science in 2019, she has exposure to data science, web development, and business analytics. As a software development (backend) intern at HCSS, she contributed to the Safety product. Prior to starting her master degree, she worked as a Business Systems Analyst at Empyrean Benefit Solutions. She was primarily responsible for supporting the ongoing services of three clients, with specialties in ACA 6055/6066 Reporting, front-end development, and Quality Assurance. Rose earned her Bachelor of Science degree in Systems Engineering from the University of Virginia in Fall 2015. Her interests lie in utilizing data to inform better decisions, and improving efficiency through mass computing power.
MEng in Computer Science, 2019
Texas A & M University
BSc in Systems Engineering, 2016
University of Virginia
Resume is available as PDF.
HCSS Safety team. Converted a legacy DB framework in C# to entity framework for the Safety and Skill web apps.
Implemented features such as sentiment analysis, PDF reformatting, etc.
Tools: C#, ASP.NET MVC, SQL, Entity Framework, Jira, Git, Fiddler
Contributed to the Aerial Roof Inspection (ARI) project.
Experimented with multiple trending Deep Learning algorithms, streamlined data preprocessing pipeline & documentation. Introduced & showcased Mask R-CNN to the data science team.
Keywords: Computer Vision, Deep Learning, Drone Image Processing
Rockwell Automation Laboratory.
Created a web-based virtual teaching pendant system for the LabVolt 5150 robot using Visual Basics and PHP. This system, employed at both TAMU and Alamo Colleges, has been evaluated by 100+ students.
Performed data and file processing for ongoing activities using SQL, Python, and Excel.
Assisted with the resolution of participant issues by resolving Salesforce/CRM cases in a timely manner.
Maintained front-end benefit portals using CMS, HTML, CSS, and PHP.
Created, executed, and maintained accurate and detailed test plans (unit, function, integration, and regression) for all new system functionality testing.
Responsible for 2016 ACA Reporting for three clients, ensured that around 50,000 1095 B/C forms were mailed accurately and timely.
To view my blog posts, visit here.
Here show some of my (past and current) projects. Click each to view details.
Explainerdashboard is a Python package that requires minimal codes for data scientists to view & analyze black-box model performances. I contributed to the development by adding a simplified version of classification dashboard.
WorkBud is a platform designed to encourage virtual collaboration between State Farm employees. I lead a team of 3 to build the platform, which supports 3 features and design a recommender algorithm to match employees for technical troubleshooting sessions. Prize: 2020 State Farm Sponsored Hack
A simple CNN hyperparameter search with evolutionary algorithm.
The original Jekyll-to-Ghost plugin only works for early versions of Jekyll & Ghost. To effectively migrate from Jekyll 3.8.5 to Ghost 2.0, I modified the script to ease the transition. It is a great starting point if you consider migrating from Jekyll to Ghost recently (not tested under Ghost 3.0).
A collection of scripts to automatically summarize news articles.
Feel free to get in touch with me via the contact form here. I’ll get back to you as soon as I can!