Data Analyst

Szu Yu Kuo

718-***-**** *****@**.*** linkedin.com/in/szu-yu-kuo-090192185 github.com/salmoncan0110 Objective

A motivated team player and recent business analyst graduate seeking full-time opportunities in the data analyst field where I can utilize my knowledge of data analytic and visualization to help improve profitability.

Education

Udacity Online Course

Data analyst Nanodegree, Data Scientist Nanodegree Oct 2020 – Present Boston University Metropolitan College Boston, MA

Master of Science in Applied Business Analytic Jan 2019 – Sept 2020 Academic Projects

Airbnb in Sch oneberg, Berlin. R — Price Analyze & Predict

• Performed k-means to cluster the all exist accommodation by its features.

• Utilizing the linear regression to predicts rental price and the cleaning fee for future new marketing enter.

• Applied the K-nearest neighbors, Classification Tree and Naive Bayes to predict the new apartment.

• Analyzed the relationship between all features and prices with classmate. NYC Real Estate R & Power BI — Enter the exist market

• Perform the KPI analysis and visualization by using Power BI.

• Utilizing time series and linear regression to predict future revenue and maximum NPV.

• Found the optimal decision making of hiring and office cost by EXCEL.

• Giving the recommendation and strategy by analysing the historical transactions. Lobster Land strategy analysis Python 3 & Tableau — Strategy Analyze

• Analyze and visualize family travel expenditures in New York by using Tableau.

• Forecasting the total spending by household segmentation and conducting the different customer’s targeting.

• Classifies households will renew season pass or not and use A/B Testing to compare ad campaigns.

• Helping the Lobster Land manager for the decisions-making. Google Merchandise Store analysis Google Analytic — website analyze

• Analyzing real time and historical data of the distribution of consumer groups, consumption behavior, and product analysis.

• Giving advice to the Google Merchandise Store team by utilizing Google Analytic to analyze the website. Experience

StepOpening 2015 – 2017

E-Commerce - Merchandiser - Alibaba Kaohsiung, Taiwan

• Responsible for B2B sales of brand-named beauty and cosmetics in the APAC region.

• Developed new clients and prospects both locally and abroad through use of cold calling.

• Maintained company products on Alibaba’s ecommerce platform and analyzed online consumer traffic.

• Managed company SNS, using platforms such as Facebook, Weibo, and WeChat, to help with customer outreach and maintaining existing customer relations.

Technical Skills

Languages: R, Python, SQL

Data Visualization: Tableau, Excel, Power BI

Version Control: Git

Libraries: Pandas, NumPy, Matplotlib, Seaborn,Sklearn

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