Katie Laventall
About Katie Laventall
Katie Laventall is a Senior Software Engineer at Quantcast, where she has worked for 12 years. She holds a Master of Arts from Stanford University and a Bachelor of Arts in Mathematics from the University of California, Santa Cruz.
Work at Quantcast
Katie Laventall has been employed at Quantcast as a Senior Software Engineer since 2012. Over her 12-year tenure in San Francisco, California, she has contributed to various projects and initiatives within the company. Her role involves applying her expertise in software engineering to develop solutions that enhance the company's data analytics capabilities.
Education and Expertise
Katie Laventall holds a Master of Arts degree from Stanford University, where she studied from 2007 to 2009. Prior to that, she earned a Bachelor of Arts degree in Mathematics from the University of California, Santa Cruz, completing her studies from 2005 to 2007. Her educational background provides a strong foundation for her expertise in control design methodologies, optimization techniques, and machine learning.
Technical Skills and Tools
Katie possesses a diverse skill set that includes control design, linear and convex optimization, and system identification. She is proficient in demand and inventory forecasting, Kalman filtering, and dynamic programming. Additionally, she utilizes various tools and programming languages such as Matlab, Mathematica, CPLEX, Python, Java, and LaTeX to support her work in software engineering.
Background in Resource Allocation and Machine Learning
Katie Laventall has a background in resource allocation and machine learning, which complements her technical skills. Her experience in stochastic modeling further enhances her ability to analyze complex systems. She has worked with multiple operating systems, including Windows, Mac, Linux, and Solaris, showcasing her adaptability in different computing environments.