Pardeep Singh
About Pardeep Singh
Pardeep Singh is a Lead Machine Learning Engineer at Fairmatic, where he has worked since 2022. He has extensive experience in machine learning and software engineering, having held various roles at companies such as Sense and Helpshift.
Work at Fairmatic
Pardeep Singh has been serving as the Lead Machine Learning Engineer at Fairmatic since 2022. He joined the company during its stealth mode and has become a subject matter expert on risk models used to assess insurance risk. His responsibilities include hiring new team members across various roles, such as Senior Software Engineers, Machine Learning Engineers, and Data Scientists. Pardeep has also conducted end-to-end impact analysis of new risk models after their production deployment and led efforts to benchmark existing models, identifying areas for improvement.
Previous Experience in Machine Learning
Before joining Fairmatic, Pardeep Singh worked at Sense as a Machine Learning Engineer from 2020 to 2021, and later as Lead Machine Learning Engineer from 2021 to 2022. His work involved proposing and implementing solutions to enhance insurance risk models. He also served as a Software Engineer II focusing on Machine Learning at Helpshift from 2019 to 2020, and as Software Engineer I: Backend from 2016 to 2019.
Background in Software Engineering
Pardeep Singh began his career at Paxcel Technologies Pvt. Ltd. as a Software Engineer from 2015 to 2016, after completing a five-month traineeship at the same company. His early experience in software engineering laid the foundation for his later roles in machine learning and backend development, particularly during his tenure at Helpshift.
Education and Expertise
Pardeep Singh holds a Master of Computer Applications (M.C.A.) from Thapar Institute of Engineering & Technology, where he studied from 2012 to 2015. He also earned a Bachelor's degree in Computer Applications from Panjab University, completing his studies from 2009 to 2012. His educational background provides a strong foundation in computer science, which he has applied throughout his career in software and machine learning engineering.
Achievements in Machine Learning
Throughout his career, Pardeep Singh has implemented significant improvements in machine learning processes. Notably, he developed a Streamlit-based dashboard that reduced debugging time for model issues from days to hours. He also enhanced the accuracy of a feature for identifying driver improvement areas from 86% to 96% using a deterministic non-ML-based solution. Additionally, he has mentored new team members at Fairmatic, facilitating their onboarding and integration into the team.