Jonas Lau Frandsen
Data Science, Software Development, Team Leadership
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Currently
Working as a Senior Data-science Consultant at Netcompany on the AI-Rejseholdet team, specializing in rapid AI/ML proof of concepts that demonstrate business value and identify opportunities for lasting impact.
Professional Profile
Passionate and results-driven data scientist with a solid background in software development and data science. In my role as both a Data Scientist and Team Lead on a DSB x Netcompany project, I successfully partook in the development and implementation of AI-driven predictions for Danish trains, a solution with customers in all of Denmark. This experience has equipped me with the ability to manage Proof of Concept projects and scale them into impactful machine learning solutions that deliver tangible business value, through productionalized models.
I have worked with both traditional ML such as predictive maintenance, data clustering, classifiers, timeseries prediction and regression, as well as Deep Learning, where my expertise area has been computer vision. I have general knowledge about LLM’s.
I thrive in collaborative team environments, leveraging my strong technical expertise and versatile skill set to drive projects forward effectively. I’m proactive by nature, always taking initiative to ensure goals are met and obstacles are addressed promptly.
Specialized in
Data Science, Team-leading, Machine Learning, AI, Software Development and Data Visualization
Highlighted project
2024-Now
Netcompany - AI-Rejseholdet
- Part of a 4-person specialist team executing rapid proof of concepts at clients to demonstrate how ML and AI can impact their business
- Responsible for the ML/AI tech stack, identifying high-impact areas where ML or AI could drive lasting business transformation
- Rapid prototyping to validate ML hypotheses and demonstrate signal for scalable solutions
- Translating core business needs through an AI/ML lens to ensure implementations deliver tangible bottom-line value
Education and work experience
2026-Now
- Part of AI-Rejseholdet, a 4-person specialist team executing rapid proof of concepts at clients
- Responsible for the ML/AI tech stack, identifying high-impact areas for business transformation
- Rapid prototyping to validate ML hypotheses and demonstrate signal for scalable solutions
- Translating core business needs through an AI/ML lens to ensure bottom-line value
2023-2026
- Core role at a DSB x Netcompany project on AI predictions for train travel
- Working with clients to implement data-driven solutions using ML and AI
- Leading and implementing Proof of Concept projects that assess the potential for larger ML and AI implementations
- Developing and deploying scalable AI models using Databricks and cloud technologies
- Helping clients with statistical analysis and data visualization
2021-2023
- Specialization in AI and deep learning
- Electives in Big Data Management and Applied Information Security
- Thesis: Searching for open-ended properties in a Large Scale Collective Intelligence system
- GPA: 10.13
Previous Experience and Education
2018-2021
- GPA: 10.50
Technical Skills
Programming Languages
- Python - Incredibly strong background for both low-level and high-level programming.
- Java
- SQL
Data Science and ML
- Deep Learning, Traditional ML, Neuroevolution, Statistical Analysis, Mlflow.
Big Data Technologies
- PySpark, Hadoop File System (HFS), High-Performance Computing (HPC) with Ray as multiprocess enabler.
Cloud and MlOps
- Databricks, Cloud deployment of AI models, MLOps, ModelMesh, AI Health Monitoring set-ups, Virtual machines mainly on Azure platforms.
Systems
- Experienced with Linux, Windows, and macOS
Security
- Fundamental understanding of information security and why it is important.
Personal Skills
Team Leadership
- Experience as Team Lead with the ability to motivate and coordinate teams.
- Experience as Project lead with understanding of project planning, team management and successful deliveries.
Communication
- Strong stakeholder management skills.
- Adept at conveying complex technical topics to non-technical audiences.
- Mastery of presenting for medium to large audiences on complex matters in an understandable way.
Problem-Solving
- Analytical thinker with the ability to quickly learn and apply new technologies and methods.
Adaptability
- Highly flexible with the ability to adapt to changing project requirements, technologies and the organisation around projects.
Languages
Danish
- Native Language
English
- Fluent