Lin O'driscoll
About Lin O'driscoll
Lin O'Driscoll is a data science professional with over 20 years of experience in various roles, currently working at Tatari since 2017. He has a strong background in applied mathematics and physics, and expertise in Python, Spark, and Hadoop, among other technologies.
Work at Tatari
Lin O'driscoll has been working at Tatari as a Data Scientist since 2017. In this role, he has contributed to the development and implementation of analytical algorithms and models, utilizing his expertise in data science. His work is based in San Francisco, California, where he has been part of the team for over seven years.
Previous Experience at Truecar, Inc.
Prior to his current role, Lin O'driscoll held multiple positions at Truecar, Inc. He served as a Senior Data Analyst from 2008 to 2011, where he focused on data analysis. He later advanced to the role of Director of Platform Analytics from 2013 to 2016, overseeing analytics initiatives. Additionally, he worked as a Senior Software Developer from 2011 to 2013, contributing to software development projects.
Education and Expertise
Lin O'driscoll has a background in Applied Mathematics and Physics, which provides a strong foundation for his work in computational modeling and simulation. He is proficient in various programming and data analysis tools, including Python, Spark, Hadoop, SQL, and numerical analysis techniques. His expertise extends to both traditional relational database management systems and Big Data systems.
Background in Software Development
Lin O'driscoll began his career in software development, working as an Application Developer at Eds Group and Spark New Zealand in 1999. He also worked as a Contractor at Zag.com from 2007 to 2008. These early roles contributed to his technical skills and understanding of software applications, which he has applied throughout his career.
Research Experience
Lin O'driscoll has research experience from his time at The University of Auckland, where he worked as a Researcher from 1997 to 1998. This role involved engaging in research projects that likely enhanced his analytical skills and understanding of data-driven methodologies.