
Weian Yin

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About me
MSDS @ Stanford University| Ex Data Scientist Intern @ eBay
Education

Stanford University
2022 - 2024Master's degree Data Science
美国伊利诺伊大学香槟分校
2018 - 2022Bachelor of Science - BS Mathematics, Statistics 3.98/4.00Activities and Societies: Phi Beta Kappa Summa Cum Laude (top 3 percent)
Experience

University of Illinois Urbana-Champaign
Sept 2019 - May 2022I worked as a course assistant and developer for MATH285: Differential Equations at UIUC. My responsibilities include:- Developing course materials such as Jupyter notebooks and HTML files for a differential equations course- Examining and improving lab materials for differential equations solving and interactive plotting functions by Python, answering students’ questions in bi-weekly lab sessions and proposing adjustments to course materials in weekly staff meeting based on students’ feedback- Holding weekly virtual office hours via Zoom supporting more than 500 students to solve Python programming questions and differential equations problems Show less
Math 285 Course Assistant
Sept 2021 - May 2022Undergraduate Research Assistant
Jun 2021 - Dec 2021Mathematics/ CS Tutor
Sept 2019 - Aug 2021

Illinois Geometry Lab
Jan 2020 - Jun 2020Undergraduate Research Assistant-Characterized the winning conditions for the two players in a Maker-Breaker game played on an interval of N integers-Developed 2 new winning strategies for both player that improves the precision of existing bound on the number of points that the Breaker plays in each round of game

Illinois Geometry Lab
Sept 2020 - Dec 2020Undergraduate Research Assistant- Built graphs for the sequential sounding of a collection of bells in the language of graph theory- Discovered and proved 3 properties of the existence of permutation patterns of 4 bells under the physical constraint of bells- Utilized sound resources of the Altgeld Chimes from the mathematics department webpage to create an Android app that plays the sound of 4 bells based on user’s choice using Android Studio and Java

KPMG China
Jun 2021 - Aug 2021Data Analyst InternI interned at KPMG as a data analyst during 2021 summer. The project I worked on was developing a risk management platform for an e-commerce company. My daily tasks include:- Cleaning and analyzing two years of sales data with 2 million+ observations from a client e-commerce company to check data credibility, integrity and characteristics using t-test, z-test and Python packages- Computing and visualizing monthly, quarterly, and annual profit for 1k+ companies through pivot tables and line plots, discovered that more than 80% of company’s profit rates increased during the pandemic, which provided insights for determining major risk factors in building a risk management platform- Building regression and boosting models to predict store annual revenue by Scikit-learn, performed feature selection through collinearity checking and L1 regularization, obtained an R^2 of 80%+- Proposing potential directions for data collection based on model result, improved data retrieval and preprocessing time Show less

Bill & Melinda Gates Foundation
Sept 2022 - Dec 2022Graduate Student ResearcherI'm researching on implementing rubella vaccination in Nigeria.

EBay
Jun 2023 - Sept 2023Data Scientist InternI'm interning as a data scientist under the applied research team at eBay. My project focuses on improving user segmentation.• Enhanced a community detection model for user segmentation with Siamese Network and User-to-User graph, created more detailed user segmentation with stable performance• Implemented a User-to-User graph using Python and PySpark, leveraging 90 days of recent user activity in a retail category with 100 million+ observations, capturing 65.7% more user connections than the pre-existing graph• Resolved a data retrieval issue in PySpark revolved pipeline in a large code base, generated 1000% more data• Optimized hyperparameters of the Siamese Network implemented with PyTorch which improved model training efficiency,applied clustering algorithms to the user embeddings and obtained 40% higher silhouette scores for user clusters• Developed automatic naming pipeline for user clusters using generative AI based on Chain of Thought Prompting, analyzed model results in a retail category, providing insights for model development in other categories that will be put in production Show less

TikTok
Jul 2024 - nowData Scientist
Licenses & Certifications
- View certificate

Deep Learning Specialization
CourseraMar 2021
Honors & Awards
- Awarded to Weian YinSumma Cum Laude University of Illinois Urban Champaign May 2022
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