Data Scientist
2021 - PRESENTTv2/Danmark- Built various segments of the user base—based on user behavior, subscription details, and so on—from the website and video-streaming site.
- Developed big-data flows using Delta Lake, Parquet files, and PySpark.
- Built advanced user segments using various machine learning methods with a range of supervised methods.
Technologies: Azure, Databricks, MLflow, Adobe, Google Ads, Optuna, PySpark, Azure Cloud Services, Machine Learning, Python, Pandas, Data Analysis, Scikit-learnData Scientist
2018 - 2021City of Copenhagen- Developed POCs for machine learning models on behalf of a number of data science projects. The goal was to make smarter use of the data available to the city of Copenhagen in Python using packages such as Scikit-learn, PyTorch, and Spark ML.
- Architected and built Azure cloud solutions using tools such as Azure functions, logic apps, key vaults, storage accounts, docker, and so on.
- Automated deployment pipelines using Azure DevOps and ARM templates.
- Built dashboards and visualizations either for presentations for stakeholders or for interactive use for clients using tools such as Power BI and Databricks.
- Set up ELT/ETL pipelines using tools such as Azure SQL, data factory, data lakes, and PySpark.
Technologies: Data Science, SQL, Azure SQL, Azure Resource Manager (ARM), Azure Data Lake, Azure Logic Apps, Azure Functions, Azure DevOps, Databricks, Azure, PySpark, Python, OCR, Azure Cloud Services, Spark ML, Machine Learning, Natural Language Processing (NLP), Pandas, Data Analysis, Scikit-learn, Regex, Text Classification, NumPyProduct Owner | Assistant Market Risk Manager
2016 - 2018Nordea- Built infrastructure components that satisfied the fundamental review of the trading book requirements; these included developing prototyped models using Python and Excel VBA.
- Monitored and assessed the quality of market risk models in relation to P&L attribution eligibility tests using tools such as Excel, VBA, and Oracle SQL.
- Specified core risk models for value-at-risk, expected shortfall, and internal model capital charge-calculations using tools such as VBA and Python.
- Brokedown, prioritized, and estimated the time of tasks in my role as a product owner.
- Organized the work of other developers using tools such as Jira and Confluence.
Technologies: SQL, Multidimensional Expressions (MDX), Oracle SQL, Python, Jira, Confluence, Excel VBA, Risk Management, Pandas, Data Analysis, NumPyStudent Assistant
2014 - 2016Danish Medical Doctors Pension Fund- Extended and maintained parts of the data warehouse solution used for risk management, i.e., such as the setup of SSIS jobs, building stored procedures, and extending the SQL data model.
- Maintained and developed the performance reports of the investments of the pension fund. The reports were developed with Excel, VBA, and SQL stored procedures.
- Assisted more senior colleagues in the risk management and investment teams with ac-hoc tasks.
Technologies: Bloomberg, SQL Server Integration Services (SSIS), Microsoft Excel, Excel VBA, SQL, Risk Management, Data Analysis