Real Estate Machine Learning

YUWEN YAO

*****@****.*** • 608-***-**** • *** East Campus Mall, Madison, WI, 53703 • https://www.linkedin.com/in/yuwen-yao-4ba715220/ EDUCATION

University of Wisconsin-Madison Graduated in May 2024 Bachelor of Arts: Data Science, Statistics, and Maths Overall GPA: 3.55/4.0 Business Courses: Marketing Management, Intro to Retail, Intro to Data Analytics (Excel) PROJECTS

Willy Street Co-op Database Management System March 2024 - April 2024

● Developed an SQL database to manage member information, product inventory, and sales data for a co-op with two team members

● Designed the data dictionary detailing the structure and specifications of tables and fields, including key types, data types, constraints, and indexing,

● Improved data accessibility and analytical capabilities for store managers Real Estate Investment Analysis Interface (REIAI) October 2023 - December 2023

● Designed an interactive interface for Badger Real Estate Group (BREG) to analyze U.S. real estate data

● Integrated dynamic heatmaps, bar plots, and county-level maps based on metrics like education spending, healthcare accessibility, and median property prices

● Enabled users to customize weightings for different variables to identify optimal low-risk investment locations

● Incorporated detailed county-level rent price analysis and visualizations of seasonal property trends to inform investment strategies Machine Learning and Statistical Pattern Classification- Speed Dating Experiment September 2022- December 2022

● Manipulated datasets from Kaggle in Python; analyzed experiment data; extracted relevant data and built a model

● Predicted speed dating experiment results using logistic regression, KNN, SVM, and decision tree algorithms to create data virtualization

● Understood machine learning concepts: supervised learning, unsupervised learning, pattern classification, regression analysis, clustering, and dimensionality reduction

● Compared and contrasted statistical pattern classification approaches to algorithmic and nonparametric approaches to improve algorithms

Data Modeling in R Studio-NBA players data June 2021 - May 2022

● Operated the R Studio integrated statistical computing environment to carry out reproducible data wrangling, graphical exploration, data modeling, and analysis

● Formulated statistical hypotheses and applied classical and Monte Carlo methods

● Collaborated with 4 group members to analyze a Kaggle dataset; interpreted relationships between NBA players’ height, weight, and team positions

INTERNSHIP EXPERIENCE

Shanghai Suojie Information Technology Co., Ltd., Shanghai May 2023 - July 2023 Advertising Specialist

● Managed coupon production, ensuring timely delivery with a focus on quantity, quality, and cost

● Optimized production processes, achieving growth in key indicators, and improving output, coverage, quality, and unit price

● Researched industry, competitors, and products for content improvement, contributing to enhanced market competitiveness

● Collaborated across teams to solve problems, mitigate risks, and meet customer needs in advertising operations

● Implemented team performance management and incentives, driving continuous improvement in efficiency for high-performance WORK EXPERIENCE

Levy Restaurant, Camp Randall and Kohl Center, Madison August 2022 - April 2024 Suite Attendant & Team Meal Supervisor

● Supervised student employees to serve meals for 400 athletes and promoted student-athlete dining experience

● Served food and beverages, including alcoholic beverages, to up to 80 suite guests; recorded and relayed the order to the kitchen via the P.O.S. system.

SKILLS

Certificate: Consumer Science Orientation and Academic Standards certificate Programming Languages: Python, R, Stata, and SQL

Concepts: Object-Oriented Programming, Data Structures, Recursion, Machine Learning, Hypothesis Testing

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