Rob Fitch
About Rob Fitch
Rob Fitch is a Senior Analyst in Data Analytics at Ally with extensive experience in IoT solutions, engineering, and security systems.
Current Role at Ally
Rob Fitch serves as a Senior Analyst in Data Analytics at Ally, a position he has held since 2022. In this capacity, he leverages his extensive background in data analysis and engineering to contribute to the company's data-driven decision-making processes. His role involves the synthesis and interpretation of complex data sets to provide actionable insights that drive business strategies.
Previous Experience at BlueCross BlueShield of Tennessee
Before joining Ally, Rob Fitch was employed at BlueCross BlueShield of Tennessee as an IoT Solutions Engineer from 2020 to 2022. During his tenure, he was based in Chattanooga and specialized in the implementation of Internet of Things (IoT) technologies. His responsibilities included developing engineering solutions that optimized health insurance services and improved system efficiencies.
Engineering Specialist at Convergint Technologies
Rob Fitch worked at Convergint Technologies as an Engineering Specialist 3 from 2010 to 2020. For a decade in the Chattanooga, Tennessee area, he focused on security and life safety systems. This role involved designing, deploying, and maintaining critical safety applications in highly regulated environments, ensuring compliance with industry standards and enhancing operational security.
Education Background
Rob Fitch holds a Master's degree in Data Analytics from Western Governors University, where he studied from 2020 to 2021. Prior to this, he earned a Bachelor of Science in Computer Science from the same institution, completing his studies between 2018 and 2020. Additionally, Fitch has acquired multiple nanodegrees from Udacity and a Data Science certification from edX, enriching his expertise in areas such as deep learning, machine learning, and autonomous vehicle engineering.
Technical Skills and Expertise
Rob Fitch possesses profound knowledge in self-driving car engineering, particularly in deep learning with TensorFlow, path planning using ROS, sensor fusion with Kalman filters, and localization through particle filters. He is proficient in programming languages such as Python and C++, which he applies to various advanced analytical and engineering projects. His skill set also includes a strong foundation in security and life safety systems.