Greg Karpov

Greg Karpov has extensive work experience in the field of data engineering and analysis. Greg most recently served as an Applied Data Engineer at Civis Analytics, where they supported multiple clients in the construction and maintenance of attribution, optimization, and visualization data pipelines. Greg also contributed to the civis-python open-source library.

Previously, they worked at CGI as a Senior Consultant, where they served as an Earned Value Analyst and Cobra database admin and technical expert. In this role, they developed a schedule risk assessment procedure, conducted monthly Monte Carlo simulations to investigate program schedule risk, and automated data cleaning processes for integration into the database. Greg also worked as a Consultant at CGI, focusing on earned value analysis, and as a Business Analyst, where they performed requirements gathering, led scrum teams, and contributed to website redesign efforts.

Overall, Greg's work experience showcases their expertise in data engineering, analytics, and project management.

Greg Karpov has a strong educational background in analytics and international relations and affairs. Greg completed a Master of Science (MS) degree in Analytics at the Georgia Institute of Technology from 2019 to 2021. Prior to that, they obtained a Bachelor of Arts (B.A) degree in International Relations and Affairs and Economics from William & Mary between 2009 and 2014.

In addition to their degrees, Greg has also acquired various certifications in the field of data science. In October 2018, they earned a certification in "Foundations of Data Science" from edX. In August 2018, they obtained a certification in "Interactive Data Visualization with Bokeh" from DataCamp. In July 2018, they received a certification in "Statistical Thinking in Python Part 1" from DataCamp. Greg also completed a certification in "Intro to SQL for Data Science Course" from DataCamp in June 2018. In May 2018, they obtained a certification in "Introduction to Data Visualization with Python Course" also from DataCamp. Furthermore, Greg has certifications in "Introduction to Databases in Python," "Manipulating DataFrames with pandas," "Merging DataFrames with pandas," "Intermediate Python for Data Science Course," "pandas Foundations," and "Cleaning Data in Python Course," all obtained from DataCamp between February and March 2018.

Greg's earliest certifications include an edX Verified Certificate for "Introduction to Computer Science and Programming Using Python" obtained in November 2015 and an edX Honor Code Certificate for "Introduction to R" earned in September 2015.