傅宇祥 Email & Phone Number

目前任職於國泰綜合證券數據分析部(4年+)●數據分析：熟練使用 Python/R/SQL/Tableau 等工具進行數據分析，擅長機器學習模型建置及資料視覺化。●數據驅動：能夠透過數據分析提供專案決策，協助優化流程及提升業績。●跨部門協作：以數據驅動的方式與其他部門合作，達成共同目標。

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  數據分析師

  Cathay Securities Corporation

  Aug 2020 - Present

  ●建立一套完整的客戶給額機制，並持續優化擴大券商機會點，於2024年有效提升月均調額人數3倍（vs2023年），並於2024年有效提升市占率40%%以上。●透過數據分析提供專案決策，協助前端平台優化流程，並提供風控名單予前線業務人員。●將資料視覺化，化繁為簡，並有條理地簡報給主管。●使用機器學習模型（如 CatBoost、Decision Tree、GNN）建置高風險名單，有效提升外撥效率。●建置市場違約樣態分析儀表板（Tableau），定期監測違約樣態，提升日常違約監控效率。●分析當沖客戶樣態，與前端單位合作建立自動發送機制，提升沖銷率。●分析客戶進行調整額度前的樣態，業界首創自動調額機制，主動協助客戶完成調額動作，使約3萬名客戶受惠，並使交易量增長約34%。●建置迴歸模型(XgbRegressor)，計算客戶需求，給予客戶合適之電子交易額度。● Established a comprehensive customer credit limit system and continuously optimized it to expand business opportunities , effectively tripling the average monthly number of credit limit adjustments in 2024 (compared to 2023) and increasing market share by more than 40%% in 2024.●Provide project decisions through data analysis, assist front-end platforms in process optimization, and provide risk control lists to front-line business.●Skilled in data visualization, simplifying complex information for presentations to supervisors.●Built machine learning models (CatBoost, Decision Tree,GNN) to create high-risk lists, effectively improving external allocation efficiency.●Developed a market default pattern analysis dashboard(Tableau), improve daily default monitoring efficiency.●Analyzed day-trading customer retention patterns,collaborated with front-end units to establish an automatic sending mechanism, effectively increasing day-traing rates.●Calculate customer credict limits, identify customers who need to increase their limit through analysis, and automatically help customers increase their limit, successfully increasing trading volume by approximately 1 billion NTdollars(34%)

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  輔仁大學

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