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Xiaodan Fang
Capital One - Principal Data Scientist
Professional Background
Xiaodan (Daisy) Fang is a distinguished data professional with over three years of experience in building innovative, data-driven solutions across various sectors, including finance, e-commerce, and logistics. As a Principal Data Scientist at Capital One, she utilizes her expertise in machine learning and statistical analysis to tackle complex problems and craft insightful narratives from data. Daisy is adept at leveraging programming languages and tools like Python, SQL, R, and cloud-based technologies, which enables her to extract meaningful insights and drive strategic decisions.
Daisy's impressive career trajectory began with several notable positions at Capital One, where she advanced from Sr Data Analyst in the Enterprise Data Management team to Sr Data Scientist in the Model Risk Office. Her analytical skills and ability to tell compelling stories through data have set her apart as a key contributor in the field. Furthermore, she showcased her data analysis prowess during the Women in Data Science (WiDS) Datathon at Kaggle, where she placed in the top 16% among 231 competitors, demonstrating her capabilities in practical applications of data science.
Education and Achievements
Daisy's academic background is as remarkable as her professional journey. She holds a Bachelor's degree in Industrial Engineering from Tsinghua University, where she graduated with an impressive GPA of 3.87. Pursuing further education, she completed her Master's degree in Operations Research and Information Engineering at the prestigious Cornell University. Furthermore, she has also pursued a Bachelor of Engineering (B.E.) in Operations Research at Tsinghua University and has expanded her educational horizons through a Management and Technology program at the Technical University Munich.
Her education has not only provided her with a strong theoretical foundation in engineering principles and operations research but has also equipped her with practical skills that she applies diligently in the workforce.
Notable Experiences
Throughout her career, Daisy has contributed significantly to various organizations and projects. As a Student Analytics Consultant at Walmart eCommerce, she applied her analytical skills to help shape data-driven strategies, leading to impactful outcomes. Additionally, her experience as a Research Assistant at CITIC Securities Company Limited and Tsinghua University underscores her commitment to advancing knowledge in the field of data science. Daisy also had a stimulating role as a Business Analyst Intern at Amazon, where she collaborated with leading experts and enhanced her practical skills in analytics and data management.
Daisy’s competitive spirit and commitment to excellence are evident in her participation in the Kaggle competition, where she competed in a project focused on predicting the gender of survey respondents, securing a commendable rank of 35 out of 231 participants. This achievement not only showcases her technical skills but also her ability to work under pressure and deliver quality results.
Skills and Specializations
Daisy Fang's skill set is expansive, with a clear focus on statistical methods and machine learning applications. Her fluency in Python and R makes her proficient in statistical programming as well as data manipulation and analysis. With her expertise in SQL, she can efficiently query databases and handle complex data sets. Her familiarity with cloud tools allows her to manage data storage and processing in a cloud environment, making her well-prepared for modern data challenges.
Daisy's analytical approach enables her to craft data narratives that drive strategic decision-making, making her a valuable asset to any organization looking to leverage data for growth and innovation.
Conclusion
In summary, Xiaodan (Daisy) Fang is a talented data scientist with a comprehensive educational background and a strong track record of professional success in various analytical roles. Her dedication to solving real-world problems through data-driven solutions is evident in her work at Capital One and previous positions at leading companies like Walmart and Amazon. With her unique blend of educational accomplishments and extensive experience, Daisy is poised to continue making significant contributions in the field of data science and analytics.