Schlagwörter
Amazon Web Services
Data Analysis
Microsoft Azure
Information Engineering
Airflow
Jira
Test Automation
Unit Testing
Cloud Computing
ETL
Datensysteme
Datenvisualisierung
Data Warehousing
Django
Dspace
Embedded C++
Embedded Software
Intellij IDEA
Python
Matlab
Machine Learning
Rapid Prototyping
Azure Machine Learning
Scala
Simulink
SQL
Azure Data Factory
Apache Spark
Zustandsautomaten
Jupyter
Git
Pandas
Data Lake
Pyspark
Amazon Elastic Mapreduce (EMR)
Docker
Databricks
Golang
+ 28 weitere Schlagwörter anzeigen
Skills
Airflow, AWS EMR, AWS, AWS Certified, Amazon Web Service, Apache Spark, testing tools, Azure Data Factory, Azure Machine Learning, cloud services, dSpace, Data Analyst, Data exploration, data analysis, data lake, Data system, data visualization, data warehouses, Databricks, Django, Docker, embedded C, ETL, Git, Golang, Data Engineer, IntelliJ, JIRA, Jupyter, Matlab, Machine Learning, Azure, Azure services, Pandas, Pyspark, Python, rapid prototyping, SQL, Scala, Simulink, state machines, unit tests
Projekthistorie
* Implement MLOps pipeline using Azure Machine Learning Studio and other Azure services
* Implement ETL pipeline using Azure Data Factory (ADF), Databricks, Pyspark
* Develop Golang application, using docker, cross compiled for multiple hardware platforms
* Developed software components and perform unit tests for embedded C code
* Created in-house Matlab modeling guidelines according to MAAB and JMAAB guidelines
* Developed functional requirements for BMS module, design software architecture and interfaces
* Developed software units with Matlab/Simulink (battery charging, state machines, relay control, thermal
management, cell balancing, start of charge, state of health and start of power algorithms)
* Conducted rapid prototyping test for battery SOC algorithm, with dSpace Autobox
* Made software test plan, chose testing tools according to functional safety requirement (ISO26262)
* Developed functional software for BMS with Matlab/Simulink, conducted unit tests (Model-in-the-loop)
* Improve battery state-of-charge (SOC) and state-of-health (SOH) estimation methods