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Lingyi Wu

Mid-level Financial/Data Analyst specializing in analytics, forecasting, and healthcare/MarTech data

Los Angeles, CACS Lead in Esley Dunn Games(Martech)4 years experienceMid-LevelRetailTransportation & LogisticsFinancial Services
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About

Growth/creative marketer from Esleydunn Games who uses Google Analytics to integrate cross-channel performance data (TikTok, YouTube, LinkedIn, Facebook) and run structured A/B tests on video ad length and layout. Reported reducing CPA by 20 per customer when leveraging YouTube and TikTok, and improved CTR through CTA/button placement testing and ongoing user-feedback loops (forum/WeChat topics).

Experience

CS Lead in Esley Dunn Games(Martech)Esley Dunn Games
Financial Analyst in MinisoMiniso
R&D in Gilead ScienceGilead Science
Financial Analyst at China&Guangfa SecuritiesChina Guangfa Securities
Financial Analyst in ShanghaiPudong Development BankShanghai Pudong Development Bank

Education

WestCliff Universitymaster, Computer Science
University of Southern Californiamaster, Healthcare Decision Analysis
Shandong University of Finance and Economicsbachelor, Economics/Law

Key Strengths

  • Designed and ran multi-length video ad tests (30s/60s/90s) using completion rate and downstream engagement signals
  • Cross-channel performance tracking and attribution-style analysis across TikTok, YouTube, LinkedIn, and Facebook using Google Analytics
  • Reported CPA improvement from shifting spend to YouTube/TikTok (CPA reduced by 20 per customer)
  • Iterative creative optimization based on behavioral signals (hook effectiveness, drop-off, CTR)
  • Improved CTR by testing and changing CTA/social button placement (top vs bottom)
  • Built feedback loops via a regularly updated forum to inform rapid creative iteration

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Contact

candidate@example.com(555) 123-4567LinkedIn Profile
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Languages

English

Skills

PythonSQLRMachine LearningDeep LearningNatural Language Processing (NLP)Computer Vision (CV)Feature EngineeringModel EvaluationPyTorchTensorFlowAzureDatabricksApache SparkGoogle BigQuery