Jeffrey G.

Jeffrey G. has a diverse and extensive work experience. Jeffrey currently serves as the Director of Engineering at Conservation Metrics, where they are responsible for software engineering and machine learning strategy. Prior to this, they worked at wellio as a Senior Staff Data Scientist, creating and deploying over 15 data products. During their tenure at wellio, they also served as the Lead Software Engineer, leading teams and spearheading product development.

Before joining wellio, Jeffrey worked as a self-employed Science-to-Software Consultant, providing consultancy services in converting scientific concepts into software solutions. Jeffrey also worked at The Climate Corporation, where they held roles as a Staff Quantitative Researcher and a Senior/Staff Software Engineer. At The Climate Corporation, they applied machine learning and geospatial techniques to various domains and contributed to the development of scalable libraries and big data infrastructure.

Jeffrey's career also includes working at Adknowledge as a Lead Machine Learning Scientist, where they optimized recommendation algorithms and significantly improved revenue. Additionally, they worked as a webmaster in a self-employed capacity and held the position of Project Manager at the Western Pennsylvania Coalition for Abandoned Mine Reclamation, where they advised on the development of a GIS-enabled online data repository.

Early in their career, Jeffrey had the opportunity to work at Google as part of their Summer of Code program and at NIST as an Undergraduate Research Fellow.

Overall, Jeffrey G. has a strong background in software engineering, machine learning, and data science, with experience in various industries and a track record of delivering impactful projects.

Jeffrey G. has a diverse education history with a focus on computer science. Jeffrey obtained a Bachelor of Science degree in Computer Science from the University of Nebraska-Lincoln, where they studied from 2002 to 2006. Jeffrey then pursued two Master of Science degrees in Computer Science, one from The University of Edinburgh from 2007 to 2009 and the other from Università di Trento, also from 2007 to 2009.

In addition to their formal education, Jeffrey has also obtained several certifications. In 2015, they completed a course on Statistical Inference from Coursera. In 2014, they completed a course on Fundamentals of Digital Image and Video Processing from Northwestern University, delivered through Coursera. In 2013, they completed a course on Maps and the Geospatial Revolution from Penn State, and another course on Jazz Improvisation from Berklee College of Music, both through Coursera. In 2012, they completed a course on Machine Learning from Stanford University. Lastly, in 2010, they obtained a certification as a Hadoop Developer from Cloudera.