Supported the development of annotation guidelines for a new autonomous driving dataset using SageMaker

Developed post-processing scripts in Python to conduct time series analysis by extracting features from keypoint data such as sit-to-stand velocity, knee angle, and lateral deviation

Led numerous initiatives involving fuel economy testing and extensive data analysis in compliance with EPA standards, netting hundreds of thousands of dollars' worth of off-cycle and A/C efficiency CO2 credits

Conducted vehicle benchmarking via hands-on laboratory testing and technology evaluation to improve powertrain efficiency

Collected performance data via dynamometer testing and high voltage equipment to produce vehicle efficiency map

Created Python scripts to automate the processing and parsing thousands of vehicle logs, greatly reducing manual labour