# Yizhen Wang > UPenn | WPI Location: New York, New York, United States Profile: https://flows.cv/yizhen Student of MSE in Data Science from the University of Pennsylvania. Actively seeking a Data Scientist and Data Engineer Intern position. ## Work Experience ### Software Engineer II - Machine Learning @ Kinetic Jan 2025 – Present ### Algorithm Engineer @ Stealth AI Startup Jan 2024 – Jan 2025 ### Software Engineer in Machine Learning @ Etsy Jan 2022 – Jan 2023 Worked closely with managers and engineers, performed data analysis, revised infrastructure, conducted experiments, devised model evaluation, mostly in Python and Scala, to improve Etsy’s ranking recommendation system, within a team of 7 Initiated an project to improve model relevance, found pipeline weakness, introduced evaluation metrics, designed methods boosting recommendation relevance, optimized learning efficency, reduced model bias, increased weighted NDCG metrics by 15% averagely, strongly mitigated over 70 persistent problematic queries Participated in projects to alternate model price sensitivity, tested different approaches including prioritizing personal price preference and prioritizing high price listings, improved conversion rate by 2% Updated feature pipeline by adding new features and located obsolete features, tested new feature engineering model impact ### Data Scientist @ Oracle Jan 2021 – Jan 2021 | Broomfield, Colorado, United States · Analyzed identity data integrity & consistency, experimented and designed candidates pairing model with blocking keys combination, finalized the schema using Qubole and AWS, worked within a group of 9 · Constructed the candidates' generation functionality and implemented it in a weekly data filter pipeline, in Scala and Python · Generated candidates out of 62 Million sample data with a generation ratio of 5.6%, with label consistency ratio of 85% ### Software Engineer Intern @ NVIDIA Jan 2020 – Jan 2020 | Santa Clara County, California, United States · Designed and developed the user interface and the system of the Incident UI running on Nvidia Shield tablet, an application for measuring user-experienced ride comfort and recording disengagement data for autonomous vehicles driving session, in a group of three · Refactored the previous Incident UI from Raspberry Pi written in C++ to Android Java using Android NDK and Android system APIs · Established data transmission between Nvidia Shield tablet and Pegasus AGX driving platform with packed serialized survey data through communication protocol developed based upon Protocol Buffer ### Software Engineer Intern @ BrainCo Jan 2019 – Jan 2019 | Greater Boston Area · Co-developed and tested micro-service servers’ security structure using Kotlitn, OAuth, Spring Cloud, PostgreSQL, and Maven under Spring framework with RESTful API architecture style, in a group of three · Secured user login using OAuth 2.0 password flow with JWT authorization token, inserted custom claims in authorization token enabling varying validity lifetime · Established password reset functionality using Redis in-memory storage service with JWT authorization token, enabled a token validity timed out feature with the Redis library · Applied custom request authorization filters using Spring Security filter chain, implemented blacklist to revoke access token after session logout to avoid unauthorized resource access ## Education ### Master of Science in Engineering - MSE in Data Science University of Pennsylvania Jan 2020 – Jan 2022 ### Bachelor of Science - BS in Computer Science Worcester Polytechnic Institute Jan 2016 – Jan 2020 ## Contact & Social - LinkedIn: https://linkedin.com/in/yizhw1 --- Source: https://flows.cv/yizhen JSON Resume: https://flows.cv/yizhen/resume.json Last updated: 2026-03-21