Julian Johannes Umbhau Jensen

Haraldsgade 78, 2., 2100 Copenhagen Ø, Denmark Mobile:-, Mail:-Date of Birth:- Julian Johannes Umbhau Jensen Profile DevOps Engineer/Data Scientist with a Masters in Political Science from University of Copenhagen and a special interest in data science, data pipelines and cloud systems. Through my diverse work experiences, I have developed and trained my analytical, organisational and project management skills, from the view of a project manager, a researcher, a data scientist and a DevOps Engineer. I have an unmoving desire to attain new competencies and skills, both through my professional life and in my spare time. Education 2020 Deep Learning Continuing Education (DTU). One week course with hands-on Deep Learning using Pytorch- Masters in Political Science with a specialization in International Political Economy, Copenhagen University. “Lobbying, social networks and Tax Regulation in EU” – Building a database of 60,000 tax professionals from scratch, and analysing the interconnectedness of tax regulators and lobbyists in EU- Bachelor in Political Science, Copenhagen University. “Among growth markets and savings directives” - A qualitative analysis of lobbying and diplomacy in the Ministry of Foreign Affairs. Experience 2022+ • DevOps Engineer at The IT and Development Agency of the Danish Ministry of Taxation (UFST) Developing and maintaining the Danish Customs Service infrastructure, ensuring stable up-time and implementing the transfer from a hybrid solution to a cloud-native solution in Azure. 2022+ Teacher in “Fundamental Data Analysis and Data Visualization in R” at AOF. 2019+ Freelance consultant in Data Science in R/Python and DevOps Engineering. - Data scientist at The IT and Development Agency of the Danish Ministry of Taxation (UFST) • Development, implementation, and deployment of a CI Machine Learning pipeline, predicting the value of all real estate in Denmark for taxation purposes. - Research Assistant at Collective Intelligence Unit (CIU), Copenhagen Business School • Project manager: “An Exploratory Study of Predictors of Credits, Debts and Savings Trends among Consumers in the Financial Sector” and “Citizen crowdsourcing: An investigation of opportunities and challenges of using collective intelligence in policy-making” Haraldsgade 78, 2., 2100 Copenhagen Ø, Denmark Mobile:-, Mail:-Date of Birth:- Languages Danish: Fluent English: Fluent German: Moderate Portuguese: Beginner Programming/IT experience Data Science Python • Data mining/exploration/visualization/dashboards, Pytorch neural network modelling, API building, computer vision, process automation, transfer learning, web scraping • Machine Learning pipelines for production, Package building, data mining/exploration/visualization/dashboards, cluster analysis, network analysis, Neural Network modelling, API building, environment maintenance, statistics, web scraping R DevOps Azure DevOps, Azure Infrastructure, Azure Resources, Azure Cognitive Services Terraform, Kubernetes, Docker, Github Actions, TravisCI, Jenkins Database PostgreSQL, Oracle Certifications Microsoft Azure Fundamentals certified SAFE5 certified Other data analysis tools: Stata, Nvivo, Gephi Projects: Github Repository: https://github.com/JulianUmbhau Interactive Data visualization Dashboard with ML forecasting and automatic daily deployment: https://github.com/JulianUmbhau/Corona_Vis_Shiny Other tools/languages/certificates: SQL, SoapUI, UIPath (Robotic Process Automation), Photoshop, GANTT Project Planning