- Reached an accuracy of over 80%, which surpassed the contrast model using time-scaled average by over 20
- Optimize Diamond Transaction Profits Using Ensemble Models
- 2024.5-2024.6
- Course Project
- Machine Learning
- Data Source: Tsinghua University
- Conducted exploratory data analysis on 10k+ diamonds for budget optimization and price-setting strategies
- Developed ensemble models to predict diamond acquisition and retail prices, achieving a R-squared of 98
- Leveraged model output to assess vendor pricing fairness and generate insights across various types of diamonds
- Deployed model pipeline to automate data transformation, model prediction, and insights generation processes
T
Traffic Risk Prediction System with Time
Advisor
November 2023 - June 2024
T
TikTok in China
Team Leader Machine Learning
April 2023 - October 2023
J
JINGDONG Technology
Data Application Engineer
Beijing, CN
August 2023 - September 2023
S
SAISHANG Data Technology
Data Analyst
Shanghai, CN
June 2022 - August 2022
Skills
A/B TestingAnalytical ThinkingApache HadoopApache HiveApache SparkAsset ManagementAutomationBig DataBudgeting SkillsBusiness InformaticsBusiness IntelligenceBusiness ProcessesBusiness StrategiesCluster AnalysisComputer ProgrammingC++ (Programming Language)Data AnalysisDatabasesData RetrievalData StreamingData TransformationDeep LearningDiscretizationE-CommerceForecasting SkillsJava (Programming Language)Knowledge of Civil EngineeringKnowledge of EngineeringKnowledge of FinanceKnowledge of MathematicsKnowledge of StatisticsLeadershipLiteratureMachine LearningMarketingMatplotlibMetricsMultivariate AnalysisMySQLNumPyOracle ApplicationsPandasPhysicsPrestoProfit-Based Sales TargetsPython (Programming Language)PytorchRandom ForestRetail CommerceRisk AnalysisR (Programming Language)SalesScikit LearnSimulationsSQL DatabasesStrategic ThinkingStrategies of PricingTensorflowTraffic FlowWeb CrawlersXgboost