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(Aktualisiert 2022-06-21)Python Developer
Copenhagen, Denmark
Einheimische English
- Extensive work analysing big data
- 5 years of Python
- Pandas and Matplotlib experience
Fähigkeiten (32)
Python
CODING
Data Analysis
MATPLOTLIB
OOP
SOFTWARE ENGINEER
PROBLEM SOLVER
DOCUMENTATION
PANDAS
OBJECT-ORIENTED
NUMPY
TECHNICAL DOCUMENTATION
ROBOTICS
C#
Unity
TELEMETRY
Git
MENTOR
Algorithm
PROTOTYPING
RASPBERRY PI
SIMULATIONS
CI/CD
Jenkins
SYSTEMS ENGINEER
APPLICATION PROGRAMMING
CONTINUOUS INTEGRATION/DELIVERY
Hardware Test
API
EMBEDDED SYSTEMS
MARKETING ANALYSIS
CONTROL SYSTEMS
Zusammenfassung
From my start as an engineer and
Creative and innovative
throughout my career, I have been
person. Experienced working committed to taking on new
challenges and delivering to the
in a variety of cultures and highest standards. Committed to
industries continuous learning, and always
open to learning new technologies
Berufserfahrung
2020-01 - 2021-12
Managed multiple projects for the aviation industry using a variety of programming languages and software tools
• Object-Oriented C# software
• Unity projects for simulation and artificial intelligence
• Automating large tasks using Blender's Application Programming Interface (API) • Managing software projects from customer requirements to final delivery
2019-01 - 2020-01
Implemented automated unit tests for developing embedded systems, and created simulations of real hardware behavior for repeatable automated tests
• Managing Test Driven Development (TDD) code
• Automated tests using Pytest and Jenkins for CI/CD
• Responsible for ensuring test coverage on embedded hardware
• Adapting scripts to fit new requirements
2017-01 - 2017-01
Systems engineer on demonstration hardware for spacecraft avionics, as well as a
programmer on demonstrating the uses of the spacecraft telemetry coming from a
technical demonstration satellite to potential customers
• Analyzing data using Python and Numpy/Pandas libraries
• Delivered innovative solutions to complicated data analysis tasks
• Information retrieval from varying data sources
• Communicating between teams of varying disciplines
• Performing hardware tests on key pieces of avionics
2022-01 - Jetzt
Teledyne E2V, Chelmsford, 2021 -
Supported projects to analyze imaging sensors
· Developed software for automated hardware test and analysis
· Collaborating on projects using SVN
· Reviewed software and documentation to ensure quality throughout the team
· Adhered to processes and guidelines for writing code and tracking issues
Akademischer Hintergrund
2017-01 - 2018-01
Zertifikate
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