
Quantitative Analysis | Algorithmic Trading | Finance
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Assessing your cultural and operational fit
AgenticTradingBot
October 11, 2025 – October 11, 2025
AgenticTradingBot — GitHub repository
View Projectelection-dashboard
October 24, 2024 – October 24, 2024
election-dashboard — GitHub repository
View ProjectFactor-Strategy-for-Corporate-Bond-
April 25, 2024 – May 17, 2024
Empirical research for corporate bond market using multi-factor model and optimization tools
View Projectcallable_convertible_bond_pricing
November 28, 2023 – December 4, 2023
callable_convertible_bond_pricing — GitHub repository
View ProjectPortfolio-Management-System
November 2, 2020 – June 10, 2021
Portfolio Management System allows users to manage their financial portfolio easily with the suggestions based on algorithms
View ProjectStock_Selection_and_Prediction_System
August 21, 2020 – August 21, 2020
System to select stocks and predict the returns using Technical Analysis & Machine Learning techniques
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on financial markets, algorithmic trading, and data analysis, which aligns well with a Data Scientist role, especially in a quantitative finance context. The diversity of projects, though all personal, indicates a proactive learning approach. However, without information on collaborative projects or work experience, assessing team collaboration or broader cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric or English test results available for evaluation.