AI Engineer at Wrist

Business Data Scientist

Mathias

Salomonsen Juul

Cand. merc. Business Data Science

Business Data Science profile with a commercial mindset, where academic theory meets business understanding. Data should be structured and evaluated so it creates real bottom-line value — not just technically correct results. I've learned to treat evaluation as a fixed part of the work, so I can be honest about what a solution can actually do and where its limits lie. A strong collaborator who thrives in iterative processes where the whole team's competencies come into play.

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LinkedIn Mathias S. Juul
Location Aalborg, Denmark
Mathias Salomonsen Juul

"Business and data science aren't two separate skill sets to me — they're one discipline, shaped by real projects with real organisations. I do my best work close to the people who'll use it and the colleagues building it with me."

— Mathias Salomonsen Juul

01

Academic Projects

Clinical NLP↗

CDSS — Clinical NLP

Cand. merc. — Business Data ScienceGrade 12

Master's thesis. Synthetic Danish PSOAP clinical note generation using GPT-4o, evaluated through a downstream patient diagnosis pipeline within a Design Science Research framework.

Developed in collaboration with Esben Münster Graahede.

GPT-4oClinical NLPDSRDanish
Generative AI↗

PDF-to-Podcast Pipeline

Cand. merc. — Business Data ScienceGrade 12

Transforms academic PDFs into two-host podcast audio — Llama 3.1 for script generation, Suno Bark TTS for synthesis, plus a knowledge graph and quiz generator.

Llama 3.1Bark TTSHugging Face
LLM Pipeline↗

Sustainability Consultant

Cand. merc. — Business Data ScienceGrade 10

Automated weekly pipeline fetching sustainability news, summarising with Gemini 2.5, and generating strategic business consultations — orchestrated by GitHub Actions.

Gemini 2.5GitHub ActionsFastAPISQLite
Statistics · ML↗

Kiva Microfinance Analysis

Cand. merc. — Business Data ScienceGrade 12

End-to-end analysis of the Kiva microfinance dataset — data cleaning and EDA, K-means and hierarchical clustering, an SVD recommendation prototype, and regression models (Linear Regression, Random Forest, XGBoost) with SHAP explainability.

scikit-learnXGBoostSHAPEDA
02

Spare Time Projects

NLP · RAG↗

Employee Assistant

RAG chat application for internal documents — OpenAI embeddings in ChromaDB, GPT-4o grounded generation, and a FastAPI backend.

OpenAIChromaDBFastAPIRAG
Graph · NLP↗

Organisational Knowledge Graph

Communication network from the Enron dataset — PageRank, betweenness centrality, community detection, LDA topic modelling, and an interactive PyVis graph.

NetworkXscikit-learnLDAPyVis
Full-Stack↗

Aurum Tempus

End-to-end luxury e-commerce portfolio — FastAPI backend, SQLite database, synthetic data pipeline, KMeans/RF/GBM ML models, and a static BI dashboard on GitHub Pages.

FastAPIscikit-learnSQLiteStreamlitDocker
Time Series↗

Wind & Solar Causality Analysis

Granger causality analysis of Danish renewable energy vs. electricity spot prices — VAR modelling, impulse response functions, and a Dockerised FastAPI results service.

statsmodelsFastAPIDockerEnerginet API
LLM · Streamlit↗

Customer Message Generator

Two-stage Gemini pipeline classifying customer region and emotional type, retrieving behavioural context, and generating a personalised outreach message in a tradesperson's voice.

GeminiStreamlitPrompt Engineering
Agentic AI↗

Autonomous Business Analytics Agent

Multi-agent pipeline answering ambiguous business questions against a synthetic dataset — retrieval, analysis, and a cross-provider critic agent (GPT-5.4-nano + Claude Haiku 4.5) with grounding, confidence, and human-in-the-loop guardrails, backed by 75 passing tests.

OpenAIAnthropicSQLiteMulti-Agent
03

Industry Collaboration

Lægehåndbogen & Patienthåndbogen 🏛️

Official Knowledge Base Collaboration

Formal collaboration providing access to validated clinical knowledge for the CDSS system — carried out on behalf of Danske Regioner and Lægeforeningen.

Master's Thesis · AAU

Healthcare Professionals 🩺

Clinical Staff Interviews

Structured interviews with doctors and nurses to gather domain knowledge and employee perspectives — directly shaping the requirements and evaluation criteria of the CDSS clinical NLP system.

Master's Thesis · AAU

Shaping New Tomorrow Holding ApS 🏢

Bachelor's Final Project

Final bachelor's project conducted in collaboration with Shaping New Tomorrow Holding ApS — applying business analytics and organisational analysis to a real company context.

Bachelor Project · AAU

Neogrid Technologies ApS 🔗

5th Semester Project

Semester project carried out in partnership with Neogrid Technologies ApS — combining data analysis and business strategy in a live technology company setting.

5th Semester Project · AAU

Consumers 🗣️

Consumer Interviews

Facilitated consumer interviews across multiple marketing and value-focused projects — translating consumer insights into analytical frameworks and business-oriented recommendations.

Consumer Research · Bachelor's Programme

04

Core Skills

01 🐍

Python

Primary language across all projects — from data pipelines and statistical modelling to REST APIs and LLM orchestration. Comfortable with the full ecosystem: pandas, NumPy, FastAPI, scikit-learn, and more.

02 📊

Data Processing & Analysis

End-to-end data work: ingestion, cleaning, transformation, and exploratory analysis. Experience with structured tabular data, time series, text corpora, and graph data — always focused on reliable, reproducible outputs.

03 📐

Statistics & Mathematics

Applied statistical reasoning underpins the work — hypothesis testing, stationarity analysis, Granger causality, VAR modelling, regression, and probabilistic modelling. Equally comfortable with theory and implementation.

04 ⚙️

Prototype Construction

Rapid, end-to-end system building — from notebook proof-of-concept to deployed application. Includes API design, containerisation with Docker, GitHub Actions automation, and lightweight frontends.

05 🗄️

SQL

Relational database design and querying for analytical and transactional use cases. Experience with SQLite and SQLAlchemy ORM — structuring schemas, seeding data, and integrating databases into backend services.

06 🤖

AI

Hands-on with the modern LLM stack — OpenAI, Gemini, and open-source models via Hugging Face. Covers prompt engineering, RAG pipelines, function calling, vector databases, and evaluation workflows across multiple projects.

05

Education

2023 — 2026
Master's

Cand. merc. Business Data Science

Aalborg University

Master's programme combining business strategy, statistics, and software engineering. Thesis in clinical NLP: synthetic Danish PSOAP note generation and evaluation within a Design Science Research framework.

One semester (Sep 2025 – Jan 2026) completed as an exchange within Marketing & Sales Management, before returning to the Business Data Science programme.

2020 — 2023
Bachelor's

HA — Business Administration

Aalborg University

Foundation in business economics, organisational theory, and quantitative methods — the domain context that grounds the data science work.

2017 — 2020
Upper Secondary

Higher Commercial Examination (HHX)

Business College

Upper secondary education with a business and economics focus — providing the commercial foundation that underpins subsequent academic and professional development.

06

Work Experience

2023 — 2024
Board Member

Bestyrelsesmedlem

Gade og Juul A/S

Board member at Gade og Juul A/S — contributing strategic oversight and business perspective alongside ongoing academic studies in Business Data Science.

2021 — 2024
Part-time

Retail Employee

Meny

Part-time retail work alongside studies — developing practical customer service and operational experience throughout the bachelor's and master's programmes.

2020 — 2021
Gap Year

Retail Employee

Løvbjerg & Føtex

Full-time retail employment during a gap year — building work ethic and commercial awareness prior to commencing university studies.

07

About Me

I hold a cand. merc. in Business Data Science from Aalborg University, at the intersection of analytical methods, software engineering, and commercial thinking — where academic theory meets business understanding. For me, structuring data is only half the job; evaluating it honestly, so I can speak plainly about what a solution can do and where its limits lie, is just as important.

My project work spans the full stack — statistical modelling, machine learning, LLM pipelines, and production deployments — with real industry collaborations including Neogrid Technologies, Shaping New Tomorrow, and a formal partnership with Lægehåndbogen & Patienthåndbogen for my clinical NLP thesis.

Throughout both my bachelor's and master's, almost every project has been carried out in direct partnership with an organisation rather than in the abstract — working with real stakeholders, real constraints, and real business questions. My cand. merc. sits deliberately at the intersection of business and data science, a combination reinforced by my HA in Business Administration and Economics, which gave me the commercial grounding the technical work builds on.

My entire education at AAU has been group-based and problem-driven, giving me a strong collaborative instinct and the ability to take co-responsibility for a team's progress and ensure knowledge flows freely between everyone involved. My thesis in clinical NLP brings it all together — rigorous methodology, real stakeholder collaboration, and practical system design in a high-stakes domain.

9 Portfolio projects
5+ Years at AAU
PBL Problem-Based Learning