Márton Menyhért

Márton Menyhért

LinkedIn


Work Experience

Math Analyst

Gaming Laboratories International (GLI) | Nov 2024 – Present
- Analyze game outcomes to ensure compliance with country-specific regulations.
- Validate Return-to-Player (RTP) scores using statistical analysis and confidence intervals.
- Conduct theoretical assessments to confirm market readiness of games.
- Utilize proprietary tools to generate reports, ensuring jurisdictional standards.

Research Assistant - POPNET, Network Science

Leiden University | Sept 2023 – June 2024
- Co-authored Connectivity and Community Structure of Online and Register-based Social Networks.
- Presented findings at the Sunbelt Conference, Edinburgh, June 2024.
- Performed large-scale data analysis and developed models to interpret network metrics.
- Created visualizations and reports to derive actionable insights.

Student Assistant

Leiden University | Sept 2022 – Jan 2023, Sept 2023 – Jan 2024
- Supported lab sessions for Social Network Analysis coursework.
- Graded assignments and provided guidance to students.

Full Stack Developer

Wozavez Ltd. | Feb 2021 – June 2021
- Developed front-end and back-end systems, including REST APIs and SQL scripts.
- Built dynamic dashboards for real-time data insights.

Data Scientist Intern

Ericsson Ltd. | Aug 2020 – Jan 2021
- Designed and evaluated machine learning models, including Decision Trees and XGBoost.
- Preprocessed datasets and tested models for production deployment.

Sound Illustration Developer

Alfréd Rényi Institute of Mathematics | June 2022 – March 2023
- Created sound illustrations for the educational book A számok rejtett építőkövei – A prímek.

Computer Engineer Intern

Foton Ltd. | Oct 2019
- Configured actuators for automated chemical fume hood systems.


Education

MSc in Computer Science: Data Science

Leiden University | Sept 2021 – Aug 2023
- Thesis: Social Connectedness of Geographical Areas in a Population-scale Network.
- Coursework: Deep Learning, Data Mining, Social Network Analysis, Text Mining, Reinforcement Learning.

BSc in Computer Science Engineering

Pázmány Péter Catholic University | Sept 2017 – Jan 2021
- Thesis: Estimating the Resolution of Online Video Streams Over Secure Channels (Ericsson Ltd.).
- Coursework: Data Structures, Algorithms, AI, Programming in Java, Probability, and Statistics.


Skills

Programming: Python (pandas, NumPy, scikit-learn, TensorFlow, Keras), Java, SQL, C, C++
Data Science: Machine Learning, Deep Learning, Data Mining, Predictive Modeling, Statistical Analysis
Tools: Postman, cURL, AWS, Hadoop, Git, Google Sheets
Techniques: Algorithm Design, Optimization, Random Forest, Decision Trees, Web Scraping, Data Visualization
Specializations: Social Network Analysis, Text Mining, Network Science, Graph Theory, Geospatial Data
Soft Skills: Problem Solving, Analytical Thinking, Communication, Interpersonal Skills
Languages: Hungarian (Native), English (Proficient), Dutch (Intermediate)