Paul Young is a highly educated Senior Statistical Analyst at DNV GL with a wide range of expertise in statistical analysis, data science, and modeling. Holding a Bachelor's Degree from the prestigious University of California, Berkeley, Paul is well-equipped to handle any data-related challenge. He has gained a vast amount of experience over the years, which he utilizes on a daily basis in his work. Paul's clients benefit from his attention to detail and his ability to find solutions to complex data problems.

At DNV GL, Paul specializes in statistical analysis work, a job that includes quantifying uncertainty in data sets and building predictive models. His expertise in statistics and data science enables him to play a key role in consultative engagements, and he is known for his remarkable communication skills. With his impressive analytical skills, Paul stands out among his peers in the field, and he is an asset at any company.

Paul is always looking for new challenges and opportunities to develop his skills further. He is a hardworking and driven professional, always willing to go the extra mile to get the job done. His success in the field stems from a strong passion for data science and his desire to learn and grow as an individual.