Esther Thron
About Esther Thron
Esther Thron is a data scientist with a patent for a method to identify anomalies in vehicle telemetry. She has worked at LMI since 2019 and specializes in deep learning techniques, particularly using neural networks for machine learning applications.
Work at LMI
Esther Thron has been employed at LMI as a Data Scientist since 2019. In this role, she applies her expertise in machine learning and data analysis to various projects. Her work involves utilizing advanced techniques such as deep neural networks and recurrent neural networks, including GRU and LSTM, to solve complex data challenges. Thron's contributions at LMI focus on leveraging her extensive knowledge of machine learning libraries like scikit-learn, Keras, and TensorFlow to enhance data-driven decision-making.
Education and Expertise
Esther Thron studied at The University of Texas at Austin, where she earned a Bachelor of Science (BS) in Mathematics from 2010 to 2013. She also attended The University of Texas at Arlington for one year from 2009 to 2010. Thron specializes in machine learning, particularly in using deep learning techniques. She is proficient in various activation functions, cost functions, and optimizers, which are essential for developing effective machine learning models.
Background
Before joining LMI, Esther Thron held several positions in the field of data science and analytics. She worked at General Motors as a Data Scientist from 2016 to 2019 and as a Data Integrator from 2013 to 2016. Additionally, she served as a Senior Analytics Consultant at eClerx for four months in 2019 and as a Data Scientist at Clockwork Solutions for six months in the same year. Thron also gained experience as a Teaching Assistant at The University of Texas at Austin from 2012 to 2013.
Patents and Innovations
Esther Thron holds a patent (#10553046) for a method that determines the root cause of anomalies using vehicle telemetry. This innovation showcases her ability to apply data science techniques to real-world problems, particularly in the automotive industry. The patent reflects her commitment to advancing the field of data analysis and machine learning.
Machine Learning Proficiencies
Esther Thron has extensive experience with various machine learning techniques and tools. She utilizes deep learning models, including Gaussian mixture modeling, and is proficient in using machine learning libraries such as scikit-learn, Keras, and TensorFlow. Thron is knowledgeable in a range of activation functions, cost functions, and optimizers, which are critical for developing and fine-tuning machine learning applications.