Portfolio

I am Mark Welin

Name: Mark Welin

Profile: Data Scientist / ML Engineer

Email: welinmark@email.com

Phone: +45 31543822

Skills

Problem Solving 200%

Statistics & Probability 100%

Python 100%

SQL 70%

Google Cloud Platform 50%

Git & DevOps Tools 70%

About me

I’m a Human-Centered AI student at DTU with a background in math and data science. Most of my work focuses on machine learning and statistical modeling, but I enjoy the entire pipeline—digging into messy data, writing clean code, and seeing ideas actually work in practice.

I’ve worked on projects ranging from audio-based neural networks to financial data analysis, and I’m currently writing my thesis with Alipes Capital using Whisper ASR to analyze earnings calls. I also have experience digitising workflows in the public sector and helping students as a teaching assistant in math.

I like solving real problems, working with good people, and building things that make sense. If it involves data, I’m usually interested.

Resume

Machine Learning student with a strong background in math, data science, and real-world problem solving.

Summary

Mark Hageman Welin

Human-Centered AI student with experience in mathematical modelling, statistics, and data science. I enjoy solving real-world problems with data, working across systems, and learning on the fly.

Copenhagen, Denmark
+45 31543822
welinmark@email.com

Education

MSc in Human-Centered Artificial Intelligence

Expected graduation in 2025

Technical University of Denmark

Focus on practical applications of data science concepts. My main focus areas were deep learning, mathematical modelling, and entrepreneurship. My master's thesis was written in collaboration with Alipes Capital, where I helped them determine the reliability of using ASR models for trading strategies.

BSc in Machine Learning and Data Science

Graduated in 2023

University of Copenhagen

Here I focused on learning python and SQL, theoretical machine learning, and high performance computing in C.

BSc in Mathematics

Graduated in 2022

University of Copenhagen

Solid foundation in number theory, statistics, algorithms, and computational methods. TA for mathematics and discrete methods courses.

European High School Baccalaureate

Graduated in 2018

European School, Brussels I

Advanced Math, Physics, and Economics.

Professional Experience

Student Developer

2021 – Present

Ballerup Municipality, Denmark

Maintained and expanded online forms using Drupal and PHP.
Helped establish the digital infrastructure used by the municipality today.
Created modern form-based solutions to replace outdated processes.

Teaching Assistant

2022 – 2023

University of Copenhagen

Graded and supported exercises in “Intro to Mathematics for Science” and “Discrete Mathematical Methods.”
Contributed to curriculum development and feedback loops.

Business Development Specialist

2018 – 2019

Smart Profile, Brussels

Maintained the Danish B2B database and optimized data-entry methods.
Improved internal IT workflows and trained others on updated systems.

Projects & Highlights

Master's Thesis @ Alipes Capital: Researched the possibility of using ASR models on live financial calls to aid fast-paced trading strategies.
Exchange Studies: HKUST (Math, 2022) and UT Austin (Data Science, 2025).
Cryptography Project at Politecnico di Milano (2021) : Studied the use of elliptic curves for cryptography for a semester as a part of the EU4+ program.

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All projects
Math
Theoretical Data Science
Practical Data Science
Games