Matthew Sach
About Matthew Sach
Matthew Sach serves as the Lead Data Scientist at Sparkbeyond, where he has worked since 2017. He has a background in data science and analytics, with previous roles at IBM and academic experience at Stanford University.
Current Role at SparkBeyond
Matthew Sach serves as the Lead Data Scientist at SparkBeyond, a position he has held since 2017. In this role, he focuses on leveraging data science methodologies to drive insights and solutions for complex problems. His experience in data-driven environments enables him to bridge the gaps between assessment, execution, and presentation, ensuring effective communication of analytical findings.
Previous Experience at IBM
Before joining SparkBeyond, Matthew Sach worked at IBM in various roles. He served as an Analytical Strategy Consultant for a Global Automotive Manufacturer for three months in 2016. He also held the position of Data Scientist for a Major Satellite Telecommunications Provider from 2016 to 2017. Additionally, he worked as a Watson Digital Advisor Developer for Lloyds Banking Group and as a Junior Data Scientist for the same telecommunications provider, both in 2016. His role as a Modelling Expert for a Global Logistics and Transportation Provider in 2015 further solidified his expertise in data analysis.
Educational Background
Matthew Sach studied at Stanford University, where he earned a Bachelor of Science degree in Chemistry from 2010 to 2014. During his time at Stanford, he gained foundational knowledge in the field of chemistry, which has contributed to his analytical skills in data science. He also served as a Teaching Assistant and a Research Assistant in the Department of Chemistry, enhancing his experience in academic settings.
Technical Skills and Tools
Matthew Sach possesses a range of technical skills relevant to data science. He is proficient in R programming and has basic knowledge of Java and OPL programming languages. He utilizes SPSS Modeller and IBM ILOG DOC for statistical modeling. For data visualization and analysis, he employs Tableau and Microsoft Excel, including VBA. His skill set enables him to effectively analyze and present data-driven insights.