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Heather Reed
Data Science at ASAPP
Professional Background
Heather Reed is an accomplished data scientist currently making significant strides in the Customer Service industry at ASAPP. With a solid foundation in engineering and an impressive academic background, Heather has developed a deep expertise in leveraging data to drive insights and innovation. At ASAPP, she applies her extensive knowledge of machine learning, causal inference, measurement, and experimental methodologies to offer transformative solutions that improve customer interactions and streamline process efficiencies. Her work not only enhances customer experiences but also contributes to the overall evolution of the industry.
Before joining ASAPP, Heather honed her analytical skills through several prestigious roles. She served as a Visiting Scientist at NASA Langley Research Center, where she engaged in groundbreaking research, employing data analysis to tackle complex engineering problems. This experience provided her with a unique perspective on the critical importance of data in real-world applications. Additionally, Heather has worked as a Senior Associate at Thornton Tomasetti, a renowned engineering firm, where she utilized her engineering acumen to contribute to various high-stakes projects.
She has also shared her passion for engineering and data science as a Visiting Lecturer at her alma mater, Cornell University, inspiring and educating the next generation of engineers and data scientists. Her experience in academia complements her professional journey and enhances her ability to communicate complex concepts in accessible ways.
Education and Achievements
Heather Reed's academic journey began at Cornell University, where she earned her Bachelor of Science (B.S.) degree in Civil Engineering, laying a robust foundation for her engineering and analytical prowess. Driven by her curiosity and desire for deeper understanding, she pursued a Master’s Degree in Structural Engineering at the same institution, followed by a prestigious Doctor of Philosophy (Ph.D.) in Structural Engineering. Her academic accomplishments showcase her dedication to both engineering and the application of data-driven decision-making.
Throughout her educational and professional journey, Heather has continuously sought opportunities to expand her knowledge and skills, leading to her current expertise in data science and machine learning applications. Her proficiency in causal inference and experimentation demonstrates her commitment to rigorous methodologies and the development of new solutions in complex environments.
Notable Achievements
Heather Reed's contributions to the fields of engineering and data science are significant. As a data scientist at ASAPP, she plays a pivotal role in harnessing machine learning techniques to ensure that customer service practices are not only efficient but are also based on empirical data-driven insights. Her work is instrumental in facilitating better customer experiences while empowering companies to make informed decisions based on verifiable metrics.
Moreover, her tenure at NASA and Thornton Tomasetti is marked by her collaborative spirit and an innovative approach to problem-solving. These experiences reflect her ability to seamlessly integrate engineering knowledge with advanced data analysis to tackle complex issues, making her a valuable asset to any organization. Heather's role as a lecturer at Cornell University adds another layer to her profile, positioning her as someone committed to contributing to the academic community and helping shape future leaders in engineering and data science.
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