Wenbo Sun
MS IN BUSINESS ANALYTICS(STEM), CWRU, GRADUATING DEC 2020
Cleveland, Ohio, 216-***-****, adhrcp@r.postjobfree.com, https://www.linkedin.com/in/wenbo-sun-06813118a/
, https://github.com/Ota-090/challenge_repository, https://public.tableau.com/profile/wen.shon#!/
SUMMARY AND SKILLS
Python (certified), Tableau (Tableau ® Desktop Specialist/ Tableau® Desktop Certified Associate), SQL(certified), MySQL, SAS(SAS Certified Specialist), R, Matlab, SAS, Advanced Excel, Opersolver,@RISK, SPSS, Arena, Javascript, Html, CSS, D3, Plotly
Quantitative analysis of data using models,including machine learning tools and statistical tools, scikit-learn, Pandas, Matplotlib,seabborn, Scrapy, sqlalchemy, Tensorflow, Keras
Good presentation and communication skills
PROFESSIONAL EXPERIENCE
Azoti.com, Columbus, OH 06/2020 – 09/2020
Data Analyst Intern
Worked with local wholesale food distributor Sirna&Sons on Cleveland area price comparison project, including capturing 300,000 items of commodity information, establishing relational database and visualizing data using Tableau to support supply chain decision-making process
Predicted customer needs and made logistics decisions, which effectively reduced the inventory.
Successfully completed the site traffic analysis with SQL, which helped the company save more than $20,000 in advertising expenses
Geex Finance, Shanghai, China 02/2019 – 08/2019
Marketing Data Analyst (full time)
Conducted business research around the domestic beauty industry, and provided a feasibility report to support management to make feasibility decisions on market issues. (available on Linkedin)
Wrote complex SQL statements to support ETL procedures
Cooperated with software engineer to complete AB test, which increased the CTR from 21% to 39% significantly. Provided further business insights based on the test results
Performed data fetching, cleaning, merging, prepared performance reports and built interactive data visualization using Tableau.
Accenture Strategy, Beijing, China 06/2018 – 10/2018
Business Analyst Intern
Improved traditional RFM model to analyze the customer value of more than 60,000 customers, which helped the manager to develop new marketing strategies by clustering different customers.
Managed to analyze customers’ preferences by SAS and formulated marketing strategies, which increased monthly sales of the department by 6%.
Predicted customer behavior, which Reduced the turnover rate by about 3%
Provided monthly marketing insights on potential customers and their buying behaviors.
Citibank, Beijing, China 06/2017 - 10/2017
Financial Data analyst Intern
Established a model to find 10 suspected credit card fraud consumption from 200,000 records
Identified five major motivations for financial purchasing behaviors using SAS anddeveloped product strategies according to consumer motivation.
Acquiredan in-depth understanding of Citibank financial products and provided advice on financial product portfolio according to customer needs