Marcus Gunnebo

Junior Data Engineer at Monthio
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Copenhagen, DK
Languages
  • English Full professional proficiency
  • Swedish Native or bilingual proficiency
  • Danish Professional working proficiency
Skills

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
Join now
You need to have a working account to view this content.
Join now

Credentials

  • Learning Python (2020)
    LinkedIn
    Nov, 2021
    - Nov, 2024
  • Learning SQL Programming
    LinkedIn
    Nov, 2021
    - Nov, 2024

Experience

  • Monthio
    • Denmark
    • Financial Services
    • 1 - 100 Employee
    • Junior Data Engineer
      • Nov 2022 - Present

      ◦ Data Engineering: Developing data pipelines in Azure to ensure efficient and reliable data engineering. ◦ Development: Utilizing Python to develop tools and applications to support data engineering projects. ◦ Machine Learning: Applying machine learning models to extract and analyze data for decision making. ◦ Data Analysis: Conducting data analysis and providing insights to drive business decisions. ◦ Automation: Implementing automation processes to improve data accuracy and… Show more ◦ Data Engineering: Developing data pipelines in Azure to ensure efficient and reliable data engineering. ◦ Development: Utilizing Python to develop tools and applications to support data engineering projects. ◦ Machine Learning: Applying machine learning models to extract and analyze data for decision making. ◦ Data Analysis: Conducting data analysis and providing insights to drive business decisions. ◦ Automation: Implementing automation processes to improve data accuracy and reduce manual tasks. Show less ◦ Data Engineering: Developing data pipelines in Azure to ensure efficient and reliable data engineering. ◦ Development: Utilizing Python to develop tools and applications to support data engineering projects. ◦ Machine Learning: Applying machine learning models to extract and analyze data for decision making. ◦ Data Analysis: Conducting data analysis and providing insights to drive business decisions. ◦ Automation: Implementing automation processes to improve data accuracy and… Show more ◦ Data Engineering: Developing data pipelines in Azure to ensure efficient and reliable data engineering. ◦ Development: Utilizing Python to develop tools and applications to support data engineering projects. ◦ Machine Learning: Applying machine learning models to extract and analyze data for decision making. ◦ Data Analysis: Conducting data analysis and providing insights to drive business decisions. ◦ Automation: Implementing automation processes to improve data accuracy and reduce manual tasks. Show less

  • Corti
    • Denmark
    • Software Development
    • 1 - 100 Employee
    • Data Analyst
      • Dec 2019 - May 2022

      ◦ Development: Developing custom data analysis tools using Python to track performance metrics. ◦ Software Testing: Creating, executing, and evaluating tests to ensure accuracy of analysis tools. ◦ Data Analytics: Utilizing large datasets to detect patterns, trends and generate actionable insights. ◦ Quality assurance: Ensuring external partners' data enrichment meets specified requirements. ◦ Data Enrichment: Refining and extracting useful information from raw data to gain further… Show more ◦ Development: Developing custom data analysis tools using Python to track performance metrics. ◦ Software Testing: Creating, executing, and evaluating tests to ensure accuracy of analysis tools. ◦ Data Analytics: Utilizing large datasets to detect patterns, trends and generate actionable insights. ◦ Quality assurance: Ensuring external partners' data enrichment meets specified requirements. ◦ Data Enrichment: Refining and extracting useful information from raw data to gain further insight. Show less ◦ Development: Developing custom data analysis tools using Python to track performance metrics. ◦ Software Testing: Creating, executing, and evaluating tests to ensure accuracy of analysis tools. ◦ Data Analytics: Utilizing large datasets to detect patterns, trends and generate actionable insights. ◦ Quality assurance: Ensuring external partners' data enrichment meets specified requirements. ◦ Data Enrichment: Refining and extracting useful information from raw data to gain further… Show more ◦ Development: Developing custom data analysis tools using Python to track performance metrics. ◦ Software Testing: Creating, executing, and evaluating tests to ensure accuracy of analysis tools. ◦ Data Analytics: Utilizing large datasets to detect patterns, trends and generate actionable insights. ◦ Quality assurance: Ensuring external partners' data enrichment meets specified requirements. ◦ Data Enrichment: Refining and extracting useful information from raw data to gain further insight. Show less

Education

  • IT-Universitetet i København
    Master of Science - MS, Computer Science
    2022 - 2024
  • Københavns Universitet - University of Copenhagen
    Bachelor of Science - BS, Machine Learning and Data Science
    2019 - 2022

Community

You need to have a working account to view this content. Click here to join now