RESUME OBJECTIVE
• Data Analyst with * years of experience interpreting and analyzing
industry data to drive successful business solutions.
• Proficient knowledge in database, programming, and analytics.
• Excellent understanding of real-world business operations and analytics/visualization tools for effective analyses of data.
• Strong desire to make a concrete impact for a visionary company based on experience, expertise, and work ethics.
Email: *******@*****.***
Phone: 612-***-****
Linkedin: linkedin.com/in/xlw
US Work Status: Unrestricted Employment Authorization Experiences: 2 Years
US WORK STATUS
SKILLS
SQL; R; Python
Tableau; Power BI
HTML; CSS; A/B Testing
ERP/SAP
Latex; C++
Data Analytics
INTERN (REMOTE)
Big Data Research Center, Peking University / May 2020 - Present
• Work on auto insurance data with Ping AI Insurance
• Manage the planning and development of data cleaning and curation procedures for claim data and GPS data of 6,000 cars
• Focus on the correlation between driving behaviors and potential driving risks based on insurance claim and GPS data in four contextual factors (locations, time, weather, driving experience)
• Create a 3-step approach for correlation analyses
• Forecast risky driving behaviors with more than 90% accuracy
• Evaluate this approach via performance and efficiency metrics
• Prepare analytical results and figures for 2 research papers
• Develop reports and delegate tasks to 2 junior team members EDUCATION
Master of Information
Technology and Analytics
Rutgers Business School, NJ
2018-2020
EXPERIENCE
REFERENCES
Prof. Dimitri Metaxas
Distinguished Professor, Rutgers
***@**.*******.***
Prof. Yunhuai Liu
Professor, Peking University
*******.***@***.***.**
Dr. Tian He
Chief Scientist and VP
Alibaba Local Services BU
********@*******-***.***
Xiaolin Wang
Data Analyst
Product Analyst
Entry-Level
She/Her/Hers
10 Major Courses Taken
Business Data Management
Intro to Software Develop.
IT Strategy
Supply Chain Solution ERP/SAP
Information Security
Data Mining
Business Analytics Programming
Marketing Management
Project Management
Smart Cities Analytics
INTERN (ONSITE)
Alibaba Local Services Business Unit (Eleme), Shanghai / Jan – June 2019 Project 1: Delivery Profit Analysis
• Analyzed accounting data of Alibaba Delivery Platform Eleme
• Studied correlation between workers’ delivery fees and workers’ delivery trips to 2,466 merchants under contextual factors
• Developed a two-step approach to (1) cluster worker raw data traces to obtain logical delivery trips, and (2) compare the aggregate delivery fees of these delivery trips in different contexts by customers, merchants, and platform accounting data
• Draw conclusions on spatial, temporal and contextual impacts of delivery trips on delivery profits for business intelligence Project 2: Worker Behavior Analysis
• Analyzed GPS location data of 31,131 Eleme delivery workers
• Studied correlation between workers’ wait time at restaurants and contextual factors (time, locations, and restaurant types)
• Designed a two-step approach to extract worker status changes based on sensor data from workers’ smartphone apps
• Draw conclusions on the correlation between workers’ wait time and 3 context factors to show accurate overall order delivery time to customers for better customer experience