I'm an upcoming fourth-year data science student at KTH with experience across data analysis, database development, socket programming, and operating systems like Linux. These areas have allowed me to develop practical programming skills in multiple languages, including Python, Java and SQL, which I have applied in several projects, recently leading data preprocessing and optimization efforts in an epilepsy study.
My academic work has also involved contributing to a sustainability-focused project, where I structured the work, distributed tasks and ensured steady progress - an experience that deepened my interest in sustainable thinking. I’m particularly drawn to analysing data in neurological diseases, as shown in my epilepsy study, aiming to support meaningful, human-centered solutions that advance health.
With a combination of technical expertise, analytical thinking, and coordination experience, I’m confident in my ability to support and enhance data-driven projects that pursue both innovation and positive societal impact, with a focus on building a sustainable future and improving quality of life - especially in a society where neither of these critical aspects can be guranteed.
- Epilepsy Detection using GNN with Causal Asymmetries
- Epileptic Seizure Analysis - Asymmetries in Causality using Convergent Cross Mapping
- Simple Fullstack Webapplication with Authentication using Spring boot and React Typescript
- Socket layer Implementations
- Pacman game on uno32 board
- Decentralized Key Management System for Web Login