Carrie Xing

Professional Background

Carrie Xing is an accomplished Data Scientist with over six years of diverse experience across multiple sectors including search, growth, marketing, and user engagement products. Her extensive background entails intricately analyzing product performance, conducting rigorous experimentation, and constructing robust data infrastructure that supports informed decision-making processes. Furthermore, Carrie is adept in statistical modeling, a crucial aspect of her role that enables her to derive actionable insights from complex datasets. Currently, she holds a prestigious position as a Data Scientist at Airbnb, recognized for her contributions to enhancing the customer experience through data-driven strategies. Carrie’s career encompasses significant contributions at Facebook, where she honed her analytical skills and tackled challenging data-driven problems while working as a Data Scientist and previously as a Product Analytics Intern, assisting in value-driven projects that influenced core product features.

Education and Achievements

Carrie’s academic journey began at the esteemed University of Waterloo, where she pursued a Bachelor of Mathematics (BMath) with a major in Statistics along with a minor in Computer Science. Her dedication to her field is evident as she engaged in cooperative education (co-op) programs, thereby gaining valuable hands-on experience while completing her studies. Notably, she also served as a Part-time Research Assistant and a Mathematics Teaching Assistant during her time at university, solidifying her passion for both data science and education. This strong educational foundation laid the groundwork for her impressive skill set in data analysis, programming, and statistical modeling, using tools such as SQL, R, and Python.

Career Path Highlights

Throughout her career, Carrie has held multiple impactful positions, starting from internships to full-time roles in major companies known for their innovative approaches to technology and data. Her internship at Zynga as a Product Manager Intern marked the beginning of her journey in product development analysis, where she contributed to the improvement of gaming products through data insights. Following this, her internships at Swiss Re and Manulife Financial as an Actuarial Intern allowed her to apply her statistical knowledge in financial services, further broadening her expertise in data analytics.

In her role as an IT Analyst Intern at Rockwell Automation, she gained insights into the intersection of technology and operational efficiency, which enhanced her analytical thinking and problem-solving capabilities. With a solid base from these varied experiences, Carrie has transitioned seamlessly into more senior roles in data science, securing her position at world-class organizations such as Airbnb and Facebook.

Achievements

Carrie's journey in the tech industry is not without its accolades. During her tenure at Airbnb, she has been recognized for her ability to combine technical skills with strategic insight, ultimately driving the company’s growth and fostering user engagement. At Facebook, her analytics initiatives contributed significantly to product enhancements that improved user experience and engagement metrics. Her consistent ability to apply statistical modeling and data infrastructure development strategies has set a high standard within her teams.

Moreover, her proficiency in tools such as SQL and R is complemented by her growing familiarity with Python, reflecting her commitment to continuous learning and adaptation in an ever-evolving field. Carrie’s work not only demonstrates her technical capabilities but also her dedication to leveraging data for impactful decision-making in business strategies.

Carrie Xing is undoubtedly a rising star in the field of data science. Her trajectory illustrates the power of combining academic knowledge with practical experience, making her a valuable asset to every organization she joins. As she continues to push the boundaries of data analytics, her contributions will certainly lead to significant advancements in user engagement and overall product success.