Weiwei Wu work email
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Weiwei Wu personal email
I am Weiwei Wu, an insightful, thoughtful, and people-oriented professional with over 6 years of experience in designing and constructing scalable data management systems. Skilled in data modeling, data production, and implementing data governance practices. Proficient in leveraging advanced analytics and machine learning techniques to optimize forecasting accuracy and drive data-driven strategies. Collaborative team player experienced in cross-functional collaboration with data scientists and stakeholders to ensure optimal data delivery for ongoing initiatives. Strong expertise in SQL, Python, and SAS. Committed to delivering high-quality data infrastructure solutions that support business needs and enable informed decision-making.Let’s talk! Feel free to message me here at LinkedIn or via email at wuweiwei0423@gmail.com.
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Data EngineerMeta Sep 2023 - PresentMenlo Park, Ca, Us -
Data EngineerHippo Insurance Jun 2022 - Sep 2023Palo Alto, Ca, UsAs a Data Engineer, I play a central role in constructing and maintaining sophisticated data infrastructure that supports our business needs. I ensure that our data management systems are scalable, reliable, and in line with industry standards. My work includes crafting best practices for data handling and production, enhancing the overall quality of our data, and closely collaborating with data scientists to facilitate efficient data delivery for ongoing initiatives. My efforts contribute significantly to streamlining our decision-making processes and optimizing our data-driven strategies. -
Revenue Science FellowFedex Services Apr 2022 - Jun 2022
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Revenue Science AdvisorFedex Services Dec 2019 - Apr 2022OVERVIEWFedEx Services connects businesses to solutions. They integrate the technology and services customers need to create solutions for global supply chains, e-commerce or any of today’s business challenges. As the Revenue Science Advisor, I lead the international revenue plan totaling up to one-third of the corporation’s total revenue. I also work cross-functionally with marketing and finance teams from six regions to forecast potential revenue for the next two to three years and build both a detailed airport plan as well as a consolidated revenue forecast.HIGHLIGHTS• Promoted from Sr. Analyst to Advisor within two years’ time as a result of exceptional performance.• Develop time-series forecasts and tests to evaluate and calibrate the forecasting results with econometrics and statistics methods (e.g. ARIMAX, Changepoint detection, Quantile forecast).
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Sr. Revenue Science AnalystFedex Services Jul 2017 - Dec 2019HIGHLIGHTS• Analyze forecast models, assess risks, and present results along with policy recommendations to senior management. Translate complex analyses into simple language to stakeholders including management, officers, and local teams.• Explore new machine learning techniques such as, artificial neural networks, neutral network autoregression as well as support vector machine (SVM) to improve forecasting accuracy.• Leverage SAS, SQL, Python and Oracle database to analyze transaction-level big data (approx. 1M daily transactions).
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Graduate Research AssistantUniversity Of Missouri Jul 2015 - Jul 2017Columbia, Mo, UsOVERVIEWThe University of Missouri prides itself as the only state-supported member of the Association of American Universities, providing all Missourians the benefits of a world-class research university. As a Research Assistant for the Economic & Policy Analysis Research Center, I collaborated with professors and research assistants on a team of five-six members to identify methods and reform the Missouri Department of Education’s retirement policy. HIGHLIGHTS• Designed and validated the Marchov chain Monte Carlo (MCMC) approach to estimate structural models (option value models, life-cycle model) with over 20 parameters.• Numerically estimated an option-value model to analyze teachers' retirement decisions and ran policy simulations.• Published Pensions and Late-Career Teacher Retention research and presented results at professional conferences. -
Teaching AssistantUniversity Of Missouri Jan 2012 - Jul 2015Columbia, Mo, UsHIGHLIGHTS• Served as Head TA and supervised 5-7 TA’s on weekly lab sessions that supported 400-600 students per semester.• Assisted professor in six courses: principals of macro/micro economics, money and banking theory, and game theory.
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Graduate InstructorUniversity Of Missouri Jun 2014 - Jul 2014Columbia, Mo, UsHIGHLIGHTS• Taught Principal of Macro Economics to more than 50 students with full responsibility and no teaching assistance.• Received a strong 4.2/5.0 positive evaluation and won the department teaching award.
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Research AssistantNankai University Aug 2009 - Jun 2011南开区, 天津市, CnHIGHLIGHTS• Supported as main contributor in the Internet of Things (IOT) Industry in Tianjin City research and collected first-hand data through a five-day field survey of the leading IOT enterprises in Tianjin.• Summarized the IOT pattern in Europe, US, Japan and South Korea. Prepared reports on findings.
Weiwei Wu Skills
Weiwei Wu Education Details
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University Of Missouri-ColumbiaEconomics/ Statistics -
University Of Missouri-ColumbiaEconomics
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Nankai UniversityEconomics
Frequently Asked Questions about Weiwei Wu
What company does Weiwei Wu work for?
Weiwei Wu works for Meta
What is Weiwei Wu's role at the current company?
Weiwei Wu's current role is Data Engineer | Data Scientist | Economist.
What is Weiwei Wu's email address?
Weiwei Wu's email address is we****@****dex.com
What schools did Weiwei Wu attend?
Weiwei Wu attended University Of Missouri-Columbia, University Of Missouri-Columbia, Nankai University.
What skills is Weiwei Wu known for?
Weiwei Wu has skills like Data Analysis, Research, Microsoft Office, Microsoft Excel, Microsoft Word, Statistics, Management, Matlab, Sas, R, Stata, Fortran.
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