- Enhanced Stock Price Prediction Models: Developed an ensemble learning framework to predict stock prices using over 100k data
- Classification Approach for Stock Prediction: Transitioned from regression to classification for stock price prediction, defining
- Custom Voting Mechanism: Designed a custom voter to aggregate predictions from multiple models. Integrated results from MLP
- LightGBM, CatBoost, and XGBoost models to determine final prediction, ensuring higher reliability and accuracy
- Python and Machine Learning Tools: Leveraged Python, TensorFlow, and scikit-learn for model development and validation
- Conducted extensive hyperparameter tuning and model evaluation to optimize performance and minimize overfitting
E
Evalueserve
Market Insights and Data Analyst Intern
Shanghai, CN
December 2023 - May 2024
Skills
AdaptabilityAlgorithmsAnalytical ThinkingAttention to DetailBenchmarking SkillsBusiness AnalysisCalculationsCausal InferenceCodebaseComputer ProgrammingCustomer InsightsData AnalysisDatabasesData DeduplicationData ProcessingData VisualizationDecision Tree LearningDeep LearningDistillationDocument ClassificationElectric VehiclesExecution of ExperimentsFeasibility StudiesFeature ExtractionForecasting SkillsFundraisingKnowledge of FinanceKnowledge of MathematicsKnowledge of StatisticsLogistic RegressionMachine LearningMarket ResearchMATLABMatplotlibMicrosoft ExcelMicrosoft WordMySQLNumPyPandasPerformance ManagementPredictive Data AnalysisPredictive ModellingPysparkPython (Programming Language)Random ForestRaw DataReliabilityR (Programming Language)Sample Size DeterminationScikit LearnSearch EnginesStrategies of PricingStreamlineTableau (Software)TensorflowTrustworthinessWorkflowsXgboost