Hi, I'm Nicolas Lejeune
I'm a |
Data Science student at ITU Copenhagen and Co-Founder / COO of Cheap.Voyage. Building data-driven products that solve real problems.
Data Science student at ITU Copenhagen and Co-Founder / COO of Cheap.Voyage. Building data-driven products that solve real problems.
I'm Nicolas, a 5th semester Bachelor's in Data Science student at ITU Copenhagen and co-founder of Cheap.Voyage, where we're making travel affordable and transparent for international students. I built the core systems with my co-founder Peter: multi-threaded fare search pipelines, affiliate API integrations (SERP, AllAboard), while also handling the startup hustle of research, KPIs, and user testing. I am now the core of the business development end.
On the side, I'm working on Pango Coach, an AI-powered Valorant strategy coach that generates team comps and map-specific tactics. It's where my love for gaming meets AI/ML, building tools that make esports-level coaching accessible to casual players.
Before that, I gained hands-on experience in SEO and data workflows at Wineandbarrels, taught coding and robotics at TechLabs, and picked up a broad toolbox in Python, ML, NLP, and data wrangling. I like turning messy data into products people actually use, whether that's cheap flights or better game strats.
Semester Student
Active Startups
Years of Experience
Making travel affordable and transparent for international students. Built core systems including multi-threaded fare search pipelines, affiliate integrations (SERP, AllAboard), and CO₂ tracking while handling startup research, KPIs, and user testing.
AI-powered Valorant strategy coach that generates team comps and map-specific tactics. Where my love for gaming meets AI/ML, building tools that make esports-level coaching accessible to casual players. VOD analysis coming soon!
Advanced network analysis project using Python and Jupyter Notebooks. Features comprehensive data visualization, graph analysis, and network metrics computation. Includes data processing, visualization tools, and results analysis for complex network structures.
Machine learning project for skin cancer detection from medical images. Implements feature extraction, RandomForest classification, and model evaluation using the PAD-UFES-20 dataset. Includes image processing, feature engineering, and comprehensive model training pipeline.
Comprehensive LaTeX compendium for "Introduction to Statistical Data Analysis for the Life Sciences" course at ITU. Created detailed notes and R code examples for statistical analysis, featuring data visualization and statistical modeling techniques for life sciences applications.
Detailed LaTeX compendium for "Algorithms" course at ITU based on Sedgewick & Wayne's textbook. Includes comprehensive notes on algorithms, data structures, and Python implementations with Jupyter notebooks. Created as a collaborative resource for ITU students.
Data science project analyzing sleep patterns and health outcomes using machine learning. Features comprehensive data analysis of 374 individuals, including sleep quality metrics, health indicators, and predictive modeling for health outcomes based on sleep patterns.
Modern, responsive portfolio website built with pure HTML, CSS, and JavaScript. Features dynamic typing animations, scrollable project sections, professional work experience timeline, and sleek dark theme design. Fully vibe coded with modern web development practices and smooth user interactions.
Building an AI-powered Valorant strategy coach that generates team compositions and map-specific tactics. Developing core AI/ML systems for esports coaching, including VOD analysis and strategic recommendations for competitive gaming.
Leading strategic initiatives and operational excellence at a travel-tech startup. Responsible for business model design, partnership negotiations, KPI development, API integrations, LLM development, and scaling operations while building a data-driven culture.
Gained hands-on experience in SEO and data workflows. Worked on data analysis, content optimization, and analytics implementation to improve digital marketing performance.
Taught coding and robotics to students, developing curriculum and hands-on learning experiences. Focused on Python programming, robotics fundamentals, and problem-solving skills.
Always available for work if the right project comes along. Feel free to contact me.