- Created and maintained AI systems to predict, prevent, and detect real-time fraud transactions
- Discovered fraud related features, built and deployed a fraud detection model which reduced the annual loss by 53%($2M), and improved member experience by reducing false positive rate by 46% and rejection rate by 37
- Spearheaded cross-team initiative to create the return fraud detection flows
- Implemented end to end MLOps pipeline from model creation to model deployment on Databricks & GCP
- Enabled real-time data health monitoring by automating reports in Power BI dashboard, and facilitated decision-making by
- China Securities (AA level security
- Shanghai, CN
F
Financial Engineering Department
Data Analyst Intern
July 2021 - August 2021
F
Financial Engineering Department
Data Analyst Intern FOF
May 2021 - June 2021
M
Marketing Efficiency Department
Data Analyst Intern
June 2019 - September 2019
Skills
Languages
ChineseEnglish
Skills
A/B TestingAccountingAlgorithmsApplication Programming Interfaces (APIs)Artificial IntelligenceAsset AllocationAutomationBigQueryBusiness AnalysisBusiness RequirementsBusiness Rule Management SystemsChargebackCluster AnalysisComputer VisionCustomer Demand PlanningDashboardsData AnalysisDatabasesDatabricksData CollectionData IntegrityData PipelinesData StructuresDecision Making SkillsDeep LearningFeature SelectionFinancial EngineeringFinancial InstitutionFinancial SecuritiesForecasting SkillsFraud Prevention and DetectionInnovationKnowledge of CampaignsKnowledge of FinanceKnowledge of StatisticsKubernetesLogistic RegressionMachine LearningMacroeconomicsMarket DataMarketingMedical SurveillanceMetricsMicrosoft AzureOperations ResearchPower BIProduct Information ManagementPysparkPython (Programming Language)PytorchReal Time DataSafety PrinciplesSalesSales PromotionScikit LearnSelf MotivationSentiment AnalysisSimulationsSocial MediaSQL DatabasesStakeholder ManagementStock MarketsStreamlineTableau (Software)TensorflowTesting SkillsText AnalysisTime SeriesUnit TestingWeb ScrapingXgboost