Aalto University

International double degree programme ICT Innovation - exit year

Specialisation: Machine Learning, Big Data Management, and Business Analytics.
In detailed specialisation with emphasise on active hands-on learning thourgh projects and different practical assignments in the following courses:

• Machine Learning: Supervised Methods
• Reinforcement learning
• Complex networks
• Information Visualization
• Innovation and entrepreneurship study
• Research project: Machine Learning approaches for detecting COVID-19 related misinformation on Social Media

Graduated in 2021

Eindhoven University of Technology

International double degree programme ICT Innovation - entry university

• Data Engineering
• Data Mining
• Process mining
• Advanced Algorithms - Applied statistics
• Web information retrieval and data mining

Market, Retail and Consumer Engagement

Two-week intensive workshop and teamwork for creating an innovative business solution combining state- of-the-art excellence in digital technologies with innovation and entrepreneurship. Took on the challenge provided by the Finnish S-Group and immersed in real business case study within the EIT Digital Summer School Digital Industry track. My role in the team varied from problem analysis through business plan development to investor pitching, the best experience to try myself out in different functions as well.

Eötvös Loránd University

Exchange semester through Erasmus+ programme finished with 4,56/5 GPA from courses:

• Computer graphics
• Databases
• Models and algorithms
• Operating Systems
• JAVA

Sapientia Hungarian University of Transylvania

• Thesis: 10/10
• Final exam: 8,91/10

My thesis work consisted of research on sniffing Wi-Fi requests and responses and mapping them according to their location calculated from the signal strength they transmitted. DBSCAN and KNN in python were used to understand the dataset, identify groups of people and analyze their occurrence and the potential in building a social network.