- Developed quantitative models using machine learning for time series data analysis, improving trading decision
- Formulated a Shanghai crude strategy using the Vector Autoregression Model, achieving a 75% success rate in testing phases
- Created a dynamic website to analyse market data seasonality, which enhanced financial market insights by 25
- Strengthened quantitative analysis skills and gained practical trading experience through the successful
N
NXT Wave
Teaching Assistant
April 2024 - June 2024
C
Critical River
Machine Learning Intern
May 2023 - June 2023
Skills
Agile MethodologyAlgorithm DesignAlgorithmsAmazon Web ServicesAnalytical ThinkingApi DesignBig DataBootstrap (Software)Capital MarketsCascading Style Sheets (CSS)Computer ProgrammingContinuous IntegrationCoordination SkillsData AnalysisDatabasesData QualityData StructuresDockerEvent ManagementForecasting SkillsGitGithubHTMLInformation TechnologyJava (Programming Language)JavaScript (Programming Language)KerasKnowledge of AdvertisingKnowledge of EngineeringKnowledge of StatisticsKubernetesMachine LearningMarket DataMarket ResearchMatplotlibMongoDBObject-Oriented Software DevelopmentPredictive Data AnalysisPredictive ModellingPython (Programming Language)PytorchQuantitative AnalysisQuantitative InvestingRecreational ActivitiesScikit LearnSoftware EngineeringSQL DatabasesSuccess Driven PersonTeachingTensorflowTesting SkillsTime SeriesTradingWeb Development