Xinyi Hu work email
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• Actively looking for full time jobs related to data analyst, data scientist, and business intelligence.• Motivated data and business analyst with 4.5 years strategic and data consultant experience for Fortune 500 companies. Enthusiastic about working with data to create value, solve problem, and deliver insight. Expertise:- Programming skills: SQL, Python, SAS, R, VBA, Matlab- Database maintenance & deployment: HIVE, MySQL- Experience areas: Data Analysis, Strategic Consulting, Business Intelligence, Financial Reporting, Statistical Model, Machine Learning- Other: Excel, PowerPoint, CFA Level I (Dec 2014)Education Background:Double Major in Finance and Economics (University of Wisconsin - Madison)Quantitative Methods in Social Science (Columbia University)
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Senior Business Intelligence Engineer亚马逊 Jun 2020 - PresentSeattle, Wa, UsBe responsible for diving into complex business problems, providing data-driven insights to supply chain optimization technology team. -
Senior AssociateDia Associates Jul 2018 - Jun 2020New York, New York, UsLed a team on provide business strategy, data analytics, and performance insights to drive and support commercial business development in American Express.• Developed Python algorithms to simulate portfolio segmentation and improve the efficiency of territory allocation. Also built spend forecasting models to calculate target and foresee potential loss.• Was responsible for development of new global reporting system to enable enhanced reporting capabilities, data integrity, and efficiency optimization. -
Junior AssociateDia Associates Oct 2017 - Jul 2018New York, New York, UsProvided data-oriented consulting support to Referral Marketing Team in American Express.• Manipulated large-scale of transaction and activity data with SQL models to identify key metrics of new acquisition conversion and drivers of spend behavior across revenue and industry.• Recognized customer behaviors that drive credit card referral action, and leveraged trigger models to prioritize future opportunities and generate higher response rate. -
Business AnalystDia Associates Mar 2016 - Oct 2017New York, New York, UsAnalyzed and profiled spend and payment behavior from internal data and QuickBooks, to identify potential customers and assess risk level for a new working capital product.• Built logistic regression, Random Forest, and Gradient Boosting Machine models via R to predict the new product take rate and build price segmentation.Designed structured and visualized report to deliver on-time performance tracking for acquisition teams.• Developed SAS and SQL programs to collect, clean, organize, and manipulate data from Teradata and Salesforce platform. Automated reporting process by designing Excel template, creating streamlined procedure, and documenting unavoidable manual steps. -
Intern, Investment Bank DepartmentBank Of Nanjing Jul 2013 - Aug 2013Nanjing, Cn• Assisted in a corporate finance project to help a port company issue its corporate bond.• Analyzed financial statements, interviewed management committee and operation condition, and researched on industry penetration and competitor information, in order to understand the company’s credit, performance, and future development.
Xinyi Hu Skills
Xinyi Hu Education Details
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Columbia UniversityQuantitative Method In Social Science -
University Of Wisconsin-MadisonFinance,Mathematicsl Economics
Frequently Asked Questions about Xinyi Hu
What company does Xinyi Hu work for?
Xinyi Hu works for 亚马逊
What is Xinyi Hu's role at the current company?
Xinyi Hu's current role is Senior Business Intelligence Engineer at Amazon.
What is Xinyi Hu's email address?
Xinyi Hu's email address is ke****@****ail.com
What is Xinyi Hu's direct phone number?
Xinyi Hu's direct phone number is +160833*****
What schools did Xinyi Hu attend?
Xinyi Hu attended Columbia University, University Of Wisconsin-Madison.
What skills is Xinyi Hu known for?
Xinyi Hu has skills like Powerpoint, Data Analysis, Microsoft Office, Microsoft Excel, Financial Analysis, Financial Modeling, Teamwork, Sas, Sql, R.
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