Adam Rigby
PI & Senior Data Scientist at Kroger Technology- Claim this Profile
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Bio
Margaret Adriatico
Adam brings a broad background in engineering, modeling and data science to deliver insights across a broad spectrum of challenges. Although he was only with Scripps a few months, he tackled several modeling projects with expertise and professionalism that allowed him to contribute significantly to the overall mission of the Enterprise Analytics Department. He quickly learned the Scripps business and was able to design, build and verify several predictive models in order to build a better understanding of what drives customer engagement. I highly recommend Adam for his technical abilities, professionalism and willingness to dive into new areas and learn quickly. It was a pleasure to work with him, and I would work with him again given the chance.
Eric Duell
Adam came to our business-driven enterprise analytics team after spending several years in more of an academic setting. Sometimes this can be a difficult transition but Adam was up and running quickly and seemed to embrace the change. In a period of weeks he learned our data science stack and became an active and valued contributor. I also found him to be adaptable, creative and thoughtful in his work. More importantly, no matter what the situation, he had a solid rationale and basis for his methods, and was also honest and forthright if one path of analysis didn't pan out. I appreciated his integrity and competence, which gave me confidence that we could trust him and the results of his work.
Margaret Adriatico
Adam brings a broad background in engineering, modeling and data science to deliver insights across a broad spectrum of challenges. Although he was only with Scripps a few months, he tackled several modeling projects with expertise and professionalism that allowed him to contribute significantly to the overall mission of the Enterprise Analytics Department. He quickly learned the Scripps business and was able to design, build and verify several predictive models in order to build a better understanding of what drives customer engagement. I highly recommend Adam for his technical abilities, professionalism and willingness to dive into new areas and learn quickly. It was a pleasure to work with him, and I would work with him again given the chance.
Eric Duell
Adam came to our business-driven enterprise analytics team after spending several years in more of an academic setting. Sometimes this can be a difficult transition but Adam was up and running quickly and seemed to embrace the change. In a period of weeks he learned our data science stack and became an active and valued contributor. I also found him to be adaptable, creative and thoughtful in his work. More importantly, no matter what the situation, he had a solid rationale and basis for his methods, and was also honest and forthright if one path of analysis didn't pan out. I appreciated his integrity and competence, which gave me confidence that we could trust him and the results of his work.
Margaret Adriatico
Adam brings a broad background in engineering, modeling and data science to deliver insights across a broad spectrum of challenges. Although he was only with Scripps a few months, he tackled several modeling projects with expertise and professionalism that allowed him to contribute significantly to the overall mission of the Enterprise Analytics Department. He quickly learned the Scripps business and was able to design, build and verify several predictive models in order to build a better understanding of what drives customer engagement. I highly recommend Adam for his technical abilities, professionalism and willingness to dive into new areas and learn quickly. It was a pleasure to work with him, and I would work with him again given the chance.
Eric Duell
Adam came to our business-driven enterprise analytics team after spending several years in more of an academic setting. Sometimes this can be a difficult transition but Adam was up and running quickly and seemed to embrace the change. In a period of weeks he learned our data science stack and became an active and valued contributor. I also found him to be adaptable, creative and thoughtful in his work. More importantly, no matter what the situation, he had a solid rationale and basis for his methods, and was also honest and forthright if one path of analysis didn't pan out. I appreciated his integrity and competence, which gave me confidence that we could trust him and the results of his work.
Margaret Adriatico
Adam brings a broad background in engineering, modeling and data science to deliver insights across a broad spectrum of challenges. Although he was only with Scripps a few months, he tackled several modeling projects with expertise and professionalism that allowed him to contribute significantly to the overall mission of the Enterprise Analytics Department. He quickly learned the Scripps business and was able to design, build and verify several predictive models in order to build a better understanding of what drives customer engagement. I highly recommend Adam for his technical abilities, professionalism and willingness to dive into new areas and learn quickly. It was a pleasure to work with him, and I would work with him again given the chance.
Eric Duell
Adam came to our business-driven enterprise analytics team after spending several years in more of an academic setting. Sometimes this can be a difficult transition but Adam was up and running quickly and seemed to embrace the change. In a period of weeks he learned our data science stack and became an active and valued contributor. I also found him to be adaptable, creative and thoughtful in his work. More importantly, no matter what the situation, he had a solid rationale and basis for his methods, and was also honest and forthright if one path of analysis didn't pan out. I appreciated his integrity and competence, which gave me confidence that we could trust him and the results of his work.
Experience
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Kroger Technology
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United States
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IT Services and IT Consulting
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1 - 100 Employee
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PI & Senior Data Scientist
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Feb 2020 - Present
Researching solutions and advising on problems presented by Management, VP's and C-level officers.Developing R&D projects and managing the research and direction of the projects progression.
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Senior Data Scientist
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Apr 2018 - Apr 2020
Working directly with the R&D VP and other external companies on product performance and product testing.Developing Machine Learning tools in Operations Research to improve company efficiency and reduce back end costs. Working closely with 8451 to help perform company wide system updates of the ML tools.
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Data Science Consultant
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Jan 2018 - Mar 2018
Acting as a consultant delivering Data Science solutions to client questions, challenges and problems.The consulting work encompasses solutions as project plans to completed packaged software solutions.Deliverable's range from simple software patches for scalable implementation to a fully functioning patient with documentation. Acting as a consultant delivering Data Science solutions to client questions, challenges and problems.The consulting work encompasses solutions as project plans to completed packaged software solutions.Deliverable's range from simple software patches for scalable implementation to a fully functioning patient with documentation.
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The E.W. Scripps Company
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United States
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Media Production
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700 & Above Employee
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Senior Data Scientist
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Aug 2017 - Dec 2017
Acted as the lead Data Scientist, directing project paths, influencing and formulating the necessary insights and deciding on the final analysis methods needed to complete the project.Determined a new and unique metric in addition to viewing starts (used by multi media companies to determine an articles impact) that can be used to predict the articles reach more accurately.Design, build, develop and test statistical analysis, predictive analysis and evaluation software. These digital tools are designed to order news articles so that they retain the attention of the customer and improve the viewers experience. I also gained a lot of experience using SQL and RapidMiner, using these tools to accesses, manipulate, clean and categorize Big-Data.The software used machine learning code I developed using python. Predictions of an articles lifespan, its reach and its retention whilst watching (whether or not the view would watch the full clip) were calculated to help rank the products impact. Separate software was built to statistically analysis how the product can be improved to impact greater viewership numbers and an approximate release time was calculated to allow the article to gain maximum reach. Produced client specific product marketing and sales predictions, including optimizing consumer paths to purchasing the product
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University of Kentucky Center for Applied Energy Research
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United States
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Higher Education
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1 - 100 Employee
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Data Science Researcher
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Feb 2015 - Mar 2017
Designed, developed and tested analysis software (Fortran & Python). Built the analysis software for use by other members of the group. Construction and development of statistical analysis software to identify trends and patterns across multi-dimensional data sets. Some examples of this are to identify physical structural types (liquid or solid), phase transitions (going from liquid to solid), packing formations, nucleation patterns (when ice forms in water) and domain boundaries (like cracks in an ice cube). These programs used cluster analysis, principle component analysis and graph theory to determine basic structural patterns and shapes.Data Models where constructed to allow for varying formats and un-formatted files to be submitted and analyzed. Data transformation processes were performed to convert the different data types into a universal format needed by the software. Simplification and optimization processes were also done to remove unwanted data and reduce the processing time. Chemistry and Pharmaceutical software was developed to create a new simplification process to analyse how a course grain (CG) approximation of an atomic model could be used to reduce processor requirements and computational cost. CG systems are bulky approximations of atomic systems, replacing groups of atoms with a single course grain or large sphere.The method used a mixture of statistical decision making (machine learning algorithms to help pick a bulk structure), statistical analysis and classification tools to generate results of these new structures.
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The University of Manchester
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United Kingdom
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Higher Education
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700 & Above Employee
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Doctoral Training Course
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Sep 2009 - Nov 2014
As part of STEM (Science Technology Engineering and Math), I took part in outreach programs. Demonstrated new fun science tricks to teachers, to help improve the impact science has on students. Demonstrated Nano Tech work done by the university at Manchester Science museum, focusing on parents and student engagements. As part of STEM (Science Technology Engineering and Math), I took part in outreach programs. Demonstrated new fun science tricks to teachers, to help improve the impact science has on students. Demonstrated Nano Tech work done by the university at Manchester Science museum, focusing on parents and student engagements.
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R&D Consultant
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Aug 2012 - Nov 2012
R&D Development of a new fire suppression systemResearched, designed, constructed and tested experiments of a novel developmentReceived director’s approval along with funding for the projectHeaded the R&D teamPatented the inventionPreparing for potential selling of the design to well-known fire extinguisher and air conditioning manufacturers R&D Development of a new fire suppression systemResearched, designed, constructed and tested experiments of a novel developmentReceived director’s approval along with funding for the projectHeaded the R&D teamPatented the inventionPreparing for potential selling of the design to well-known fire extinguisher and air conditioning manufacturers
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General Dynamics UK Limited
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United Kingdom
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Defense and Space Manufacturing
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200 - 300 Employee
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R&D Computer Programmer
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2008 - 2008
Simulation & programming of artificially intelligent communications network.Established an adaptive mobile communication system capable of dynamic restructuring for purpose.Redesigned and developed software packages for clients.Gave business presentations and pitches to customers and supervisors.Developed software for GDUK’s team and its customers specifications and requirements. Simulation & programming of artificially intelligent communications network.Established an adaptive mobile communication system capable of dynamic restructuring for purpose.Redesigned and developed software packages for clients.Gave business presentations and pitches to customers and supervisors.Developed software for GDUK’s team and its customers specifications and requirements.
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Education
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2010 - 2014
Manchester University - School of Chemical Engineering and Analytical Science
Doctor of Philosophy (Ph.D.), Chemical Engineering and Analytical Science -
2007 - 2008
Cardiff University / Prifysgol Caerdydd
Masters, Data and Infomation Fusion (Data Science) -
2003 - 2007
Cardiff University / Prifysgol Caerdydd
Master's Degree, Physics
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