- Crawled and cleaned 50k+ financial data using Python, resulting in 20% increase in data availability, and reducing data inconsistencies by 15
- Streamlined database queries through MySQL, increasing data retrieval efficiency by 30%, and reducing query
- Built interactive real-time financial dashboards in Grafana, accelerating real-time data insights
- Developed machine learning algorithms like XGBoost, Random Forest, LDA/QDA, SVM on global stock and ETFs data, achieving 88% accuracy rate and outperforming industry benchmarks
P
Portugal Wildfire Behavior Prediction BU
September 2022 - December 2022
S
Stock Portfolio Investment Optimization BU
September 2022 - December 2022
B
Bank of China Peru
Risk Management Assistant
Lima, PE
December 2021 - January 2022
C
COVID
June 2021 - December 2021
Skills
Languages
ChineseEnglish
Skills
A/B TestingAccounting ControlAlgorithmsBenchmarking SkillsBusiness AdministrationCalculationsConsumer BehaviourCOVID-19 TestingDashboardsDatabase AdministrationDatabase QueriesData InconsistenciesData RetrievalDecision Making SkillsFeature SelectionFinancial Data AnalysisFinancial ModelingForecasting SkillsGithubGrafanaInvestment DecisionsJava (Programming Language)JIRAKnowledge of EngineeringKnowledge of FinanceKnowledge of HospitalityKnowledge of StatisticsLogistics OperationsMachine LearningMicrosoft ExcelMongoDBMySQLNumPyOperations ResearchPandasPortfolio ManagementPredictive Data AnalysisPredictive ModellingProgramming LanguagesPublic PoliciesPython (Programming Language)PytorchRandom ForestReal Time DataRisk AnalysisRisk ManagementSAS (Software)Scikit LearnSimulationsSQL DatabasesStakeholder ManagementStock MarketsTableau (Software)Vba Programming LanguageXgboost