Andreas Bogossian
Machine Learning · Software
M.Sc. student at Aalto University specialising in machine learning and mathematics. I build systems at the intersection of math and production-quality software.
GitHub · LinkedIn · andreasbogossian.com
Education
Master of Science — Machine Learning, Data Science and Artificial Intelligence
Aalto University · 2025–2027
Bachelor of Science — Computer Science
Aalto University · Sep 2023–Jan 2026
Minor in Mathematics
Relevant coursework: Machine Learning, Bayesian Data Analysis, Reinforcement Learning, Stochastic Processes, Prediction and Time Series Analysis, Introduction to Optimization, Numerical Analysis, Linear Algebra, Programming Parallel Computers, Databases, Theory of Computation, Software Engineering
Skills
| Category | Technologies |
|---|---|
| Languages | Python, R, TypeScript, Scala, C |
| ML / Data | scikit-learn, PyTorch, pandas, NumPy, brms, ggplot2 |
| Web & Backend | React, Next.js, Bun, PostgreSQL |
| Infrastructure | Docker, Kubernetes, Terraform, Google Cloud, Flux CD |
| Tools | Git, Ubuntu, Quarto |
Publications
Knowledge Graph Enhanced Recommender Systems
Aalto University · Sep 2025 · Graded 5/5 (Excellent)
Bachelor’s thesis comparing traditional recommendation algorithms with knowledge graph-based approaches (graph neural networks and knowledge graph embeddings), analysing the strengths and weaknesses and optimal use cases for each method.
Read thesis
Projects
Activity Challenge Telegram Bot · Dec 2025–Jan 2026
Production Telegram bot running guild-based fitness competitions across Aalto university societies. Features a point system based on the 2024 Physical Activity Compendium, multi-step conversation flows for activity logging, a React/Vite analytics dashboard, and full IaC deployment on Kubernetes (Talos OS) with Terraform and Flux CD.
GitHub
Hierarchical Bayesian Analysis of Aviation Safety
Investigated fatality rate patterns across aircraft manufacturers using hierarchical Bayesian models in R with brms. Partial pooling models revealed persistent manufacturer-level safety differences despite industry standardisation.
GitHub
iPhone Premium Analysis: Hardware vs. Price
Regression study assessing whether Apple devices are priced above hardware-justified levels. Tested linear regression, decision trees, random forests and neural networks in Python. The report concludes that all Apple models are priced above predicted hardware value.
GitHub
Experience
Full Stack Developer · Droppe (Internship, part-time)
Sep 2024–May 2025 · Helsinki, Finland
- Optimised data pipeline with caching, reducing query costs by 37×
- Designed a customised analytics schema to surface relevant data for developers
- Built a no-code filtering tool for data visualisation
Logistics Assistant · Viking Line (Seasonal)
Jun 2024–Aug 2024 · Finland
- Served customers across three ships in English, Swedish and Finnish
Honors & Awards
Accenture Software Quality Award — Finalist
Accenture · May 2025
Top 3 of 19 teams at Aalto University, recognized for software implementation quality.
Volunteering
Board Member · Aalto Triathlon Club · Sep 2024–Present
Sports Committee Board Member · Tietokilta · Jan 2025–Present
Languages
| Language | Proficiency |
|---|---|
| English | Native or bilingual |
| Finnish | Native or bilingual |
| Swedish | Limited working |
| Chinese (Mandarin) | Elementary |