Yinglu Wang
Data Engineer, Product Analytics
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolYinglu Wang is a Data Engineer in product analytics with eight years’ experience turning complex datasets into actionable insights for product and marketing teams. At Meta and prior at Ribbon and CoEdition she built and owned ETL/ELT pipelines in BigQuery, authored LookML for self-serve analytics, and automated reporting to accelerate decision-making. Comfortable working with minimal oversight, she pairs pragmatic SQL and Python engineering (pandas, scikit-learn) with clear stakeholder communication to surface concise, business-focused metrics. Her work has driven lower ad acquisition costs via cohort/LTV analyses and powered recommendation signals through affinity scoring—examples of blending analytical rigor with measurable product impact. Based in New York, she brings a proven track record of learning new tools quickly and taking ownership of data assets end-to-end.
8 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Digital Communication and Media/Multimedia, 4.2/5, Bachelor’s Degree, Digital Communication and Media/Multimedia, 4.2/5 at Capital Normal UniversityMaster’s Degree, Management Information Systems, 3.70/4, Master’s Degree, Management Information Systems, 3.70/4 at New York University
Github Skills (2)
python4
fundamentals4
Github contributions (5)
yingluwang/nyu-info-2335-70-201706
Jul 2017 - Aug 2017
Contributions:24 pushes, 5 branches in 1 month
fundamentalspythonsummer
yingluwang/Fin-Tech_Intelligent-Portforlio-Recommendation
Aug 2017 - Aug 2017
Contributions:16 commits, 15 pushes, 1 branch in 1 day
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