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DailyTopStockSelection
August 15, 2025 – August 22, 2025
Nonlinear multi-factor daily cross-sectional stock selection strategy excluding MLP-based models. Integrates alternative nonlinear modeling techniques for factor combination, targeting top-performing stocks in a daily frequency setting.
View ProjectStatistics_Final_Report_R
November 22, 2024 – December 4, 2024
Statistics_Final_Report_R — GitHub repository
View ProjectVectorized_Factor_Feature_Generating
July 8, 2024 – July 8, 2024
Vectorized_Factor_Feature_Generating — GitHub repository
View ProjectMachine_Learning_Nonlinear_Multi_Factor
July 8, 2024 – July 8, 2024
Machine_Learning_Nonlinear_Multi_Factor — GitHub repository
View ProjectDeep_Hedging_Snowball
July 8, 2024 – July 8, 2024
Deep_Hedging_Snowball — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on quantitative finance and machine learning, which aligns with a Data Scientist role. However, the lack of diverse project types or team-based work makes it difficult to fully assess cultural fit. The experience level is listed as 0, suggesting a junior profile, which might not align with senior-level expectations without further validation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.