John Paul Omondi
About John Paul Omondi
John Paul Omondi is an Actuarial Analyst at TD Insurance, where he has worked since 2016. He has extensive experience in data analysis and model development, having previously worked at Oman Insurance Company and Tata Consultancy Services.
Work at TD Insurance
John Paul Omondi has been employed at TD Insurance as an Actuarial Analyst since 2016. In this role, he has contributed to the development and monitoring of auto loss cost models. His responsibilities include presenting performance reviews of these models to executives and organizing components in RADAR for scoring auto loss cost experience in monitoring reports. Omondi has played a significant role in automating the monitoring report platform using R, which involves data extraction, cleaning, aggregation, and report production.
Previous Experience in Actuarial Analysis
Prior to his tenure at TD Insurance, Omondi worked at Oman Insurance Company as an Actuarial Analyst from 2009 to 2010. He also served as an Actuarial Consultant at Tata Consultancy Services from 2012 to 2013. During these positions, he developed a Generalized Linear Model (GLM) in R to test methods for monitoring the performance of auto loss cost models and maintained an R-package tool for monitoring these models across different regions.
Education and Expertise
John Paul Omondi earned a Bachelor of Science in Actuarial Science from the University of Nairobi, completing his studies from 2003 to 2007. His educational background provides a strong foundation in statistical analysis and risk assessment, which he applies in his current role as an Actuarial Analyst. His expertise includes data analysis using R and SAS, particularly in the context of auto loss cost modeling.
Technical Contributions
Omondi has made several technical contributions throughout his career. He enhanced SAS code to facilitate the export of cleaned and transformed transaction data into CSV and FTR file formats. Additionally, he created guidelines for flagging variables based on applied techniques in model monitoring. His work in automating reporting processes and developing analytical tools demonstrates his commitment to improving efficiency in actuarial practices.