Nicolaj Schmit
Verified Expert in Engineering
Data Scientist and Developer
Nicolaj's passion for making sense of data led him to his career today. He creates solutions from data—building comprehensive proof-of-concept models to give the customer the relevant insights and take the models to production in the cloud. Education-wise, Nicolaj has a background in mathematics, quantitative finance, machine learning, and economics.
Portfolio
Experience
Availability
Preferred Environment
Confluence, Jira, Azure DevOps, Git, Databricks, Azure, Windows, PyCharm, Jupyter Notebook, Visual Studio Code (VS Code)
The most amazing...
...project I've developed was a near real-time document sorting model in the cloud and which was integrated with a document source system and email client.
Work Experience
Data Scientist | Machine Learning Engineer
Tv2/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 different supervised methods.
- Built framework and processes for productionizing and controlling the lifecycle management of ML models.
Data Scientist
City 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.
Product Owner | Assistant Market Risk Manager
Nordea
- 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.
Student Assistant
Danish 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.
Experience
Algorithm for Learning to Play Simple Games
https://github.com/ngs90/RLBananaMail-sorting System
Web Scraping Algorithm
Skills
Languages
Python, SQL, Excel VBA, Regex, Python 3, R
Libraries/APIs
Pandas, Scikit-learn, PySpark, Spark ML, NumPy, Matplotlib, PyTorch, TensorFlow, Beautiful Soup, Terragrunt
Paradigms
Data Science, Azure DevOps
Platforms
Databricks, Azure, Azure Functions, Jupyter Notebook, Docker, Windows, RStudio, Visual Studio Code (VS Code)
Other
Machine Learning, Risk Management, Delta Lake, Azure Resource Manager (ARM), Quantitative Finance, Predictive Analytics, Data Analysis, Text Classification, CI/CD Pipelines, Bicep, Azure Data Lake, Multidimensional Expressions (MDX), Deep Reinforcement Learning, Tesseract, ARM, Deep Learning, Natural Language Processing (NLP), LSTM Networks, Gated Recurrent Unit (GRU), MLflow, Google Ads, Optuna, OCR, GPT, Generative Pre-trained Transformers (GPT), Machine Learning Operations (MLOps)
Storage
Azure Cloud Services, Oracle SQL, Azure SQL, Azure Table Storage, SQL Server Integration Services (SSIS)
Frameworks
Hadoop, Selenium
Tools
Azure Logic Apps, Confluence, Azure App Service, PyCharm, Git, Jira, Trello, LaTeX, Maple, Microsoft Excel, Bloomberg, Adobe, Terraform
Education
Courses in Machine Learning in Computer Science
University of Copenhagen - Copenhagen, Denmark
Master's Degree in Mathematics and Economics
University of Copenhagen - Copenhagen, Denmark
Bachelor's Degree in Mathematics and Economics
University of Copenhagen - Copenhagen, Denmark
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