Patrick Applegate
Software Developer at Link Computer Corporation- Claim this Profile
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Swedish Professional working proficiency
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Bio
Theresa Somerville
Patrick is one of the most talented scientists I have had the pleasure to work with. He and I worked together directly on projects to serve our customers, and he was always diligent, thoughtful, and thorough. He is strategic and aims to ensure his work is making an impact. He is an excellent communicator and a leader who cares about his colleagues. It was a privilege to work with him!
Theresa Somerville
Patrick is one of the most talented scientists I have had the pleasure to work with. He and I worked together directly on projects to serve our customers, and he was always diligent, thoughtful, and thorough. He is strategic and aims to ensure his work is making an impact. He is an excellent communicator and a leader who cares about his colleagues. It was a privilege to work with him!
Theresa Somerville
Patrick is one of the most talented scientists I have had the pleasure to work with. He and I worked together directly on projects to serve our customers, and he was always diligent, thoughtful, and thorough. He is strategic and aims to ensure his work is making an impact. He is an excellent communicator and a leader who cares about his colleagues. It was a privilege to work with him!
Theresa Somerville
Patrick is one of the most talented scientists I have had the pleasure to work with. He and I worked together directly on projects to serve our customers, and he was always diligent, thoughtful, and thorough. He is strategic and aims to ensure his work is making an impact. He is an excellent communicator and a leader who cares about his colleagues. It was a privilege to work with him!
Credentials
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TypeScript Essential Training
LinkedInFeb, 2023- Nov, 2024 -
Building Serverless Apps on AWS
LinkedInJan, 2023- Nov, 2024 -
Learning Amazon SageMaker
LinkedInJan, 2023- Nov, 2024 -
Learning Amazon Web Services Lambda
LinkedInJan, 2023- Nov, 2024 -
CSS for Programmers
LinkedInDec, 2022- Nov, 2024 -
ESLint: Checking for Syntax and Logic Errors
LinkedInDec, 2022- Nov, 2024 -
ESLint: Integrating with Your Workflow
LinkedInDec, 2022- Nov, 2024 -
HTML Essential Training
LinkedInDec, 2022- Nov, 2024 -
JavaScript Essential Training
LinkedInDec, 2022- Nov, 2024 -
Learning npm the Node Package Manager
LinkedInDec, 2022- Nov, 2024 -
Serverless and Microservices for AWS
LinkedInDec, 2022- Nov, 2024 -
Learning PHP
LinkedInNov, 2022- Nov, 2024 -
Introduction to AWS for Non-Engineers: 1 Cloud Concepts
LinkedInOct, 2022- Nov, 2024 -
Learning SQL Programming
LinkedInOct, 2022- Nov, 2024 -
Nail Your Python Interview
LinkedInOct, 2022- Nov, 2024 -
Business Basics for Leading Innovation
Penn State College of EngineeringSep, 2022- Nov, 2024 -
Algorithmic Thinking with Python: Foundations
LinkedInAug, 2022- Nov, 2024 -
Programming Foundations: Algorithms
LinkedInJul, 2022- Nov, 2024 -
Building Tools with Python
LinkedInJun, 2022- Nov, 2024 -
JSON Essential Training
LinkedInJun, 2022- Nov, 2024 -
Leadership in Technical Contexts
Penn State College of EngineeringJun, 2022- Nov, 2024 -
Learning SSH
LinkedInJun, 2022- Nov, 2024 -
Secure Coding in Python
LinkedInJun, 2022- Nov, 2024 -
Creating Change: Diversity and Inclusion in the Tech Industry
LinkedInMay, 2022- Nov, 2024 -
Learning Linux Command Line
LinkedInMay, 2022- Nov, 2024 -
Linux: Multitasking at the Command Line
LinkedInMay, 2022- Nov, 2024 -
Learning Vim
LinkedInApr, 2022- Nov, 2024 -
Scrum: The Basics
LinkedInApr, 2022- Nov, 2024 -
Building the Classic Snake Game with Python
LinkedInMar, 2022- Nov, 2024 -
Effective Serialization with Python
LinkedInMar, 2022- Nov, 2024 -
Learning Windows Terminal
LinkedInFeb, 2022- Nov, 2024 -
Python Data Structures and Algorithms
LinkedInFeb, 2022- Nov, 2024 -
Python Data Structures: Stacks, Queues, and Deques
LinkedInFeb, 2022- Nov, 2024 -
Python Object-Oriented Programming
LinkedInFeb, 2022- Nov, 2024 -
Machine Learning Scientist with Python
DataCampJul, 2021- Nov, 2024 -
Python Programming Skill Track
DataCampJan, 2021- Nov, 2024 -
SQL for Business Analysts Skill Track
DataCampSep, 2020- Nov, 2024 -
Data Scientist with Python Career Track
DataCampFeb, 2019- Nov, 2024
Experience
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Link Computer Corporation
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United States
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Information Technology & Services
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1 - 100 Employee
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Software Developer
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Nov 2022 - Present
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KCF Technologies, Inc.
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United States
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Software Development
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100 - 200 Employee
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Senior Data Analytics Engineer
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Nov 2020 - Sep 2022
Developed machine-health-condition classification models in Python for cloud deployment Applied advanced statistical techniques (Bayesian methods) to solve a key estimation problem; the result became a key element of the cloud-based model technology Identified software bugs in cloud-based models using an offline test harness, traditional debuggers (e.g., `pdb`), and logs on AWS CloudWatch Used static-analysis tools like `mypy` to guarantee the internal logical consistency of new and existing code Established a continuous-integration pipeline to ensure that new code met quality standards Planned new software features, scoped work items, and tracked the progress of work items in sprint meetings and using Agile-style boards in Microsoft Azure DevOps Participated in code reviews through pull requests Documented code; wrote a ten-chapter introductory "book" to help onboard new team members Developed an eight-episode video course to democratize data science across the business Created a curated list of LinkedIn Learning courses for new team members and other interested colleagues Presented new software features and code to customer stakeholders Show less
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Research Square
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United States
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Book and Periodical Publishing
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100 - 200 Employee
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Team Manager
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Jun 2018 - Nov 2020
Carried out analytical work to drive the business forward while successfully managing geographically distributed teams of up to 16 peopleCarried out analyses to support the development of a transformative, ROI-based marketing strategyDeveloped self-updating operational dashboards for use on production teams using Python and the Airtable APIDeveloped a tool that calls the Airtable and Dropbox APIs from within Python to simplify the ingestion of manuscript data, saving 10 hours of operational time/weekCarried out preliminary machine learning work to assess the relationship between individual peer reviews and editorial outcomesAnalyzed unstructured text data to identify the frequency of different issues in a corpus of over 3,000 scholarly manuscriptsApplied sentiment analysis to free-text input data to assess stakeholder satisfaction with a novel peer-review processGave four webinars, each of which reached hundreds of attendeesFour-time winner of the Culture Champion Award (2016-2020), which is given quarterly to 10% of the company based on colleague nominations Show less
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Academic Editor
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Sep 2016 - Jun 2018
Carried out data science projects in Python using text-based data and supervised machine learning techniques on Google Compute Engine (part of Google Cloud Platform)Wrote Python code to strip extraneous Unicode characters and improve sentence alignments in data used to train a machine learning modelEdited manuscripts written by scientists with native languages other than English; topics included statistics, artificial intelligence and machine learningWrote a blog post on the value of language editing during the review process; this post was viewed 34,929 times in one quarter Show less
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Penn State University
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United States
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Higher Education
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700 & Above Employee
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Scientific Programmer
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May 2016 - Sep 2016
Wrote R code in support of ongoing research projects Developed new chapters for an e-textbook, Risk Analysis in the Earth Sciences: A Lab Manual with Exercises in R (www.leanpub.com/raes), in collaboration with subject matter experts Published packages of code and data for materials associated with published scientific papers on Github Taught summer research students to write computer code, in the classroom and individually Wrote R code in support of ongoing research projects Developed new chapters for an e-textbook, Risk Analysis in the Earth Sciences: A Lab Manual with Exercises in R (www.leanpub.com/raes), in collaboration with subject matter experts Published packages of code and data for materials associated with published scientific papers on Github Taught summer research students to write computer code, in the classroom and individually
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Penn State DuBois
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Higher Education
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1 - 100 Employee
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Instructor
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Aug 2015 - May 2016
Taught five courses on topics including hydrology, climate science, Geographic Information Systems (GIS), and statistics Taught students to write computer code in the R programming language (link to press release below) Helped students improve their quantitative reasoning and science communication skills Reached out to a local high school to help students there learn about education opportunities at Penn State DuBois Organized and ran field trips (link to press release below) Taught five courses on topics including hydrology, climate science, Geographic Information Systems (GIS), and statistics Taught students to write computer code in the R programming language (link to press release below) Helped students improve their quantitative reasoning and science communication skills Reached out to a local high school to help students there learn about education opportunities at Penn State DuBois Organized and ran field trips (link to press release below)
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Penn State University
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United States
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Higher Education
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700 & Above Employee
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Research Associate
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Jan 2014 - Jul 2015
Carried out research on ice sheets and their possible future contributions to sea-level rise. (Links to press releases below)Traveled to and presented at scientific meetings. (Mentioned in BBC News; link below)Co-edited (with Klaus Keller) an e-textbook, Risk Analysis in the Earth Sciences: A Lab Manual with Exercises in R, which is freely available from www.leanpub.com/raes. (Link to press release below)Contributed 10 chapters to the e-textbook as first author.
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Postdoctoral Scholar
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Jan 2012 - Dec 2013
Carried out research on ice sheets and their possible future contributions to sea-level rise. Traveled to and presented at scientific meetings. Prepared and administered lab exercises for a course, Risk Analysis in the Earth Sciences, that taught students to carry out statistical analyses using the R programming language.
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Stockholm University
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Sweden
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Research Services
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700 & Above Employee
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Postdoc
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Jan 2010 - Dec 2011
Carried out research on ice sheets and their possible future contributions to sea-level rise. Traveled to and presented at scientific meetings. Organized and led weekly paper discussions for postdocs and Ph. D. students. Carried out research on ice sheets and their possible future contributions to sea-level rise. Traveled to and presented at scientific meetings. Organized and led weekly paper discussions for postdocs and Ph. D. students.
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The State University of New York
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United States
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Higher Education
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700 & Above Employee
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Adjunct Lecturer
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Sep 2008 - Dec 2008
Taught an introductory geology course, including preparation of all class materials. Taught an introductory geology course, including preparation of all class materials.
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Education
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Penn State University
Postbaccalaureate Certificate, Geographic Information Systems -
Penn State University
Doctor of Philosophy (Ph.D.), Geosciences -
Purdue University
Master of Science, Geology/Earth Science, General -
University of Cincinnati
Bachelor of Science (BS), Geology/Earth Science, General -
St. Xavier High School