Business Analysis skills, Data Analysis skills. SQL, Excel, Python

Xuan Cheng

********@***.*** 602-***-**** **** E, Apache Blvd, Tempe, AZ 85281 linkedin.com/in/Xuan-Cheng-CX

EDUCATION

W. P. Carey School of Business at Arizona State University August 2021 – May 2022

Master of Science: Business Analytics Tempe, AZ

•Coursework: Data Mining, Data-Driven Quality Management, Enterprise Analytics, Deep Learning Applications in Business, Descriptive and Predictive Supply Chain Analytics, Analytical Decision Modeling, Marketing Analytics

School of Material Science and Engineering at Xi’an University of Technology August 2017 – June 2021

Bachelor of Engineering, Material Science and Engineering Xi’an, China

•Coursework: Advanced Mathematics, Computer Basics, Probability and Mathematical Statistics, Materials Science, Materials Engineering, Physical Chemistry of Inorganic Materials, Engineering Drawing (CAD) and Design

McGill University July 2019 –August 2019

Summer School Montreal, Canada

•Coursework: Introductory Data Science for Business Decisions

SKILLS & ACTIVITIES

•Languages: SQL, Python, R

•Analytics Skills: Tableau, Microsoft Office (Word, Excel, PowerPoint), Pivot Table, Stat Tools, Precision Tree, @Risk, Minitab, GE McKinsey Matric, Conjoint Analysis, NLP, Regression

•Technical Skills: Marketing Analysis, Supply Chain Analysis, Analytical Decision Modeling, Quality Management

PROFESSIONAL EXPERIENCE

ASU Capstone Project HCL Tempe, US January 2022 – May 2022

•Built machine learning algorithm to predict Application Security Testing Findings.

•Conducted data cleaning such as converting JSON format findings into sentence or paragraph, which would then allow the built model to classify new findings.

•Performed NLP analysis to describe pattern, with a matric of F1 score to determine the veracity of model performance.

•Utilized F1 scores to determine the veracity of the model.

Campus Ambassador US International Education Association Xi’an, China September 2019 – January 2020

•Leveraged excel data table regarding students’ willingness on participating in study abroad.

•Initiated advertising marketing campaign to report to the manager daily.

PROJECT EXPERIENCE

Deep Learning Project CIFAR-10 Problem December 2021

•Tested models of image classification with over 60,000 color images comprising of 10 classes.

•Utilized CNN of Deep Learning Architecture, ImageDataGenerator class from Keras for Data Augmentation and completed Conv2D class on CNN for Regularization to achieve more than 85% accuracy in recognition task.

SQL Project Nike October 2021

•Used MySQL to design datasets such as product, customer, review, online and offline sales within different store locations and seasonality to predict Nike’s shoes future sales and come up with business and marketing strategies to gain profit.

•Listed sales questions as the best-selling shoes, the ratio between online and in-person sales, the most popular price range, etc.

•Determined the parts should be concentrated, predicted future sale data, and made new strategies to approach Nike’s production, marketing, and branding for future rollouts to increase the revenue.

Data Mining Project Kaggle: TFI Co. Restaurant Revenue Prediction October 2021

•Implemented machine learning algorithms such as Decision Tree, Random Forest, KNN, MLP Regressor, SVR etc. to perform ensemble predictions with over 100,000 data to predict restaurant revenue.

•Addressed multivariate imputation by chained equations to replace missing values; converted object types by one hot encoding.

•Conducted hyperparameter tuning with cross-validation on the stacked model.

•Performed data Visualization and produced final reports with Tableau with interactive dashboard.

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