Company Filing History:
Years Active: 2019-2022
Title: Matt Steinpreis: Innovator in Time Series Forecasting
Introduction
Matt Steinpreis is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of time series forecasting, holding 2 patents that showcase his innovative approach to data analysis and predictive modeling.
Latest Patents
Steinpreis's latest patents include "Methods for self-adaptive time series forecasting, and related systems and apparatus." This invention involves an apparatus equipped with a memory and processor that executes instructions to analyze datasets containing time series data points. The processor determines characteristics of the time series data and selects appropriate forecasting models from a stored pool. It then trains these models to generate forecasted values, ultimately selecting the most accurate model based on evaluations of the forecasts. Another patent, "Methods and apparatus for self-adaptive time series forecasting engine," follows a similar methodology, emphasizing the adaptability and efficiency of the forecasting process.
Career Highlights
Matt Steinpreis is currently employed at Datarobot, Inc., where he continues to develop innovative solutions in the realm of data science and machine learning. His work focuses on enhancing the accuracy and efficiency of forecasting models, which are crucial for various industries relying on predictive analytics.
Collaborations
Steinpreis collaborates with talented professionals in his field, including John Bledsoe and Jeff Gabriel. These partnerships foster a creative environment that drives innovation and the development of cutting-edge technologies.
Conclusion
Matt Steinpreis is a prominent figure in the field of time series forecasting, with a strong portfolio of patents that reflect his expertise and innovative spirit. His contributions at Datarobot, Inc. continue to shape the future of predictive analytics.