Ruoxi (Roxy) Zhang

858-***-**** adkbse@r.postjobfree.com www.linkedin.com/in/ruoxi-roxy-zhang/ github.com/ruz023

Education

Master of Science in Business Analytics (STEM Designated), University of California, San Diego 10/2020 – 12/2021

●Relevant Courses: Customer Analytics; Business Analytics in Operations, Finance, and Marketing; Collecting and Analyzing Large Data; Working with Unstructured Data; Big Data Technology

●Courses to be taken before summer: Pricing Analytics; Fraud Analytics; Recommender System

Bachelors of Arts, Economics, Diplomacy & World Affairs, Occidental College, Los Angeles 08/2015 – 05/2015

●Young Initiative Grant on Global Economy (3500 USD), supporting summer 2016 internship in Spain

●1 of 18 participants selected for the Kahane United Nations Program (see Professional Experiences)

Projects

Customer Analytics: Ads Targetting 02/2021

●Predicted click-through rate for potential customers using neural network (Keras) and XGBoost

●Tuned hyperparameters using randomized search to maximize profit on unbalanced data set

●Achieved $400+K profit from targeting 225K+ potential customers

●Visualized model performance impacts using business metrics, such as lift and gains

ETL (Extract, Transfer, and Load) in Python/Pandas and Snowflake 01/2021 – Present

●Extracted insights on the causes for rejecting US patent applications

●Parsed and cleaned CSV, JSON file from USPTO REST API (Patent Examination Data System)

●Transformed cleaned data into Snowflake table, for scale and constant availability

●Compared and contrasted patent applications and applicants; summarized patterns using SQL queries

Social Network Analysis for ASCEND in San Diego 12/2020 – Present

●Constructed from scratch data tools for ASCEND, a female executives organization

●Automated data cleaning using Python scripts; provided critical feedback on survey design

●Built interactive R Shiny dashboard to visualize demographic patterns among ASCEND members

●Created social network graphs using dplyr, ggplot2, igraph, ggraph, visNetwork packages in R

●Presented advice for ASCEND's expansion to C-level executives who are members of ASCEND

Sentiment Analysis, Yelp Data Challenge 10/2020 – 12/2020

●Researched Las Vegan diners' preferences using 50K reviews from 2017-2019

●Cleaned, lemmatized, and encoded reviews into TF-IDF vectors

●Automated sentiment detection from reviews; implemented and cross-validated logistic regression and Naïve Bayes models in scikit-learn

●Extracted review themes using k-means clustering; summarized actionable advice for restaurant owners

Professional Experiences

Associate Risk Analyst, Beijing Enterprise Water Group (BEWG), Beijing, China 11/2018 – 08/2020

BEWG (HK 00371) is a world-leading water service provider present in 36 countries

●Safeguarded the company's financial legal rights by performing due diligence on dozens of contracts

●Advised million-dollar investment projects and contracts on financial/operational safety provisions

●Managed dozens of bi-weekly decision meetings on 100 million+ RMB investments

Consultant-Green Commodities Task Force, UNDP, New York City and San Jose, Costa Rica 09/2018 – 12/2018

●Worked with a five-member research team to analyze solutions relating to Costa Rica's pineapple production and its effects on forest and biodiversity loss

●Produced a 50-page outcome document now in use by UNDP Costa Rica country team to focus resources toward maintaining Costa Rica's pineapple production and export volume while minimizing environmental degradation

Skills

●Machine Learning Models: Linear/Logistic Regression, Naive Bayes, Random Forest, PCA, Neural Networks, XGBoost, K-Means Clustering

●Programming Stack: Python (scikit-learn, pandas), SQL), R (dplyr, ggplot2, shiny), Hadoop, PySpark, AWS

●Data Visualization Tools: Tableau

Contact this candidate