Mark Chintis

Mark Chintis has a diverse work experience in various roles. Mark worked as a Data Analyst at PC Matic starting from January 2023. Prior to that, they held the same role at North Dakota Supreme Court starting from October 2020.

Before transitioning to the field of data analysis, Mark worked at Santa Cruz Cooperative School as the Mathematics Department Head and High School Math Teacher from July 2018 to June 2020. Mark also worked as a High School Math Teacher at Phoenix Collegiate Academy from July 2017 to June 2018.

During their early career, Mark worked as a Certified Strength and Conditioning Specialist at an independent organization from February 2014 to August 2019. Mark also served as a Professional Development Coordinator at Farrow Competitive Training from November 2015 to June 2016.

Additionally, Mark gained experience as an AVID Tutor at Mesa Public Schools from August 2014 to December 2014, as well as at Mesa Public School District from August 2012 to December 2012.

Mark's earliest professional experience was as a Business Analyst Intern at Cognizant Technology Solutions from June 2012 to August 2012, where they gained exposure to the SDLC process and project management.

Overall, Mark has demonstrated expertise in data analysis, teaching, and fitness training throughout their career.

Mark Chintis has a solid education background with a Bachelor of Science degree in Mechanical Engineering from Arizona State University, which they obtained from 2008 to 2012. Mark furthered their education by pursuing a Master of Science degree in Applied Statistics and Analytics at the University of Kansas Medical Center from 2018 to 2020. Mark also obtained several additional certifications to enhance their skills and knowledge in data analysis and programming. Mark completed courses such as "Advanced SQL For Data Analysis" and "Intermediate SQL for Data Analysis" at Dataquest.io in August 2020. In July 2020, they obtained a "Data Science Professional Certificate" from Coursera. Additionally, they completed a "R Programming" course from Coursera in April 2018. These certifications showcase their dedication to continuous learning and their expertise in various aspects of data science and analysis.