Updated April 2025
About Me
Hi! I'm Marcus, a passionate programmer with a love for data analysis and machine learning. I am currently pursuing my master's degree in Human-Centered Artificial Intelligence at DTU, working as a student assistant at GN, and doing consulting on the side
Other than programming, I find huge joy in playing and listening to music, hanging out with friends, and exercising.

π Curriculum Vitae
π§βπΌ Experience
STUDENT ASSISTANT (Production) β ChemoMetec
π
Dec. 2021 β Dec. 2023 | π LillerΓΈd, Denmark
- Analysing and refining production data, whilst providing meaningful insights for the machine operators, using self-made visualization- and report generating software.
- Developed an LLM-pipeline for daily summarizations of production batches, which are sent through mail.
- Parameter optimization of welding in production, using Bayesian optimization, by analysing product quality through images (Bachelor thesis).
STUDENT ASSISTANT (CRM & Loyalty) β Dansk Industri (DI)
π
Jan. 2024 - Aug. 2024 | π Copenhagen, Denmark
- Handling in-house requests, which often involve database querying, data processing and visualization of member data. Usually done using Python, R, and Excel.
- Adding insights to DIβs membership satisfaction analysis, using statistical testing, sentiment analysis, multivariate regression etc.
- Maintaining Power BI reports; used by colleagues to visualize membership data.
CONSULTANT / FREELANCER - Presutti Solutions
π
Feb. 2024 - Now | π Ballerup, Denmark
- Maintaining production PHP website for linsen.dk, which has involved classic tasks for modern websites such as: Google Tag Manager for market analysis, SQL querying, css styling, adding cookies (and cookie banners) etc.
- Adding insights into how being self-employed works, which has put me in an entrepreneurial mindset.
STUDENT ASSISTANT (Insights & Machine Learning) β GN
π
Sep. 2024 - Now | π Ballerup, Denmark
- Maintaining and building Power BI reports; based on hearing-aid event data.
- Creating analyses in proof-of-concept projects; i.e. pricing and viability of translation technology, and machine learning classification of biosensor experiments
π Education
HTX (Programming and Mathematics) β HillerΓΈd Teknisk Gymnasium
π
Aug. 2017 β Jun. 2020 | π HillerΓΈd, Denmark
- Learned programming
- Introduced to Python, SQL and HTML/CSS/JS
- Technology class taught me about creating viable products
BSc in Engineering (AI and Data) β DTU
π
Sep. 2020 β Jan. 2024 | π Kgs. Lyngby, Denmark
- Got into machine learning
- Got fond of image analysis / computer vision
MSc in Engineering (Human-Centered AI) β DTU
π
Feb. 2024 β (expected) Jun. 2026 | π Kgs. Lyngby, Denmark
- Got more into deep learning, in particular
- Became more comfortable with advanced math
π» Skills
Data analysis
- Python
- SQL
- Power BI
- Excel
- (R)
Web
- HTML / CSS / JS
- REST API
- Web scraping
- Jekyll
- (PHP + Yii)
Machine Learning
- PyTorch
- Computer vision
π Competition participation
π¬ Contact
- Email: marcus.presutti.eu@gmail.com
- GitHub: github.com/Marcrulo
- LinkedIn: linkedin.com/in/marcus-presutti/