Hi I'm Tobias

Who Am I?

I am a trained Electronic Engineer and Data Science student.

At the current age of 23, my journey in the realm of technology is deeply rooted in a blend of curiosity and technology. As a tech enthusiast with a particular interest in electronics and data science, I spend my free moments immersed in the world of electronics and coding, constantly exploring and experimenting.

Beyond my academic pursuits, I am dedicated to a project that epitomizes my passion and skills—a system designed to control a cleaning machine for solar panels. In this venture, I have taken the lead in developing both the electronic systems that manage the mechanical operations and the software that breathes life into the mechanics

This venture is but a chapter in a lifelong fascination with technology, a journey that began in my childhood with simple creations of cardboard and wood, and evolved over time into more complex metal constructs. This hands-on experimentation laid the groundwork for my enduring passion for engineering and coding. My formal entry into the world of electronic engineering was marked by my participation in the Youth Technology Lab (JETZ), an experience that was nothing short of transformative. It was there that I first encountered the art of soldering and the complexity of electronic circuits, experiences that not only fueled my interest but also charted my path toward professional growth in this field.

My first step into industry

In 2017, I embarked on an apprenticeship as an electronic engineer at Roche. It was during this time that I discovered a keen interest in programming, particularly in C, as we tackled microcontroller programming. My apprenticeship was characterized by hands-on project work, encompassing circuit design, system development, PCB creation, and programming, alongside the development of soft skills through customer interactions and teamwork.

This journey of discovery and learning in the field of electronic engineering ended in 2021 when I completed my apprenticeship, equipped with a solid understanding of electronic engineering and a newfound passion for programming.

Advancing into Data Science

Seeking to further expand my horizons, I commenced studies in Data Science at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW) in 2021. This decision was driven by the potential to merge machine learning with electronics. My studies have since broadened my expertise into python programming, machine learning, and deep learning, complemented by practical, project-based experiences.

Concurrently, my role as a Working Student at Roche has afforded me invaluable industry experience in Data Science, allowing me to apply my academic knowledge in real-world contexts.

My Current Situation as a Data Science Student

As a Data Science student, I have immersed myself in both basic and advanced concepts essential for mastering this field. My studies have provided me with a solid grounding in linear algebra, calculus, and statistics, which are the cornerstones of machine learning and deep learning.

Throughout my coursework, I have gained hands-on experience in several key areas. I have used electronic devices for data collection and learned how to store, query, and design databases. Learning Python has been a significant focus, along with important programming concepts like Git & DevOps, functional programming, and object-oriented programming. Additionally, I have learned various techniques for data manipulation, cleaning, and preprocessing to ensure its suitability for analysis.

Data visualization has also been an important part of my studies. I have learned how to create clear and informative charts and graphs to represent data effectively.

Projects and challenges during my studies have allowed me to combine different skills I was learning. Working on these projects, especially with other people, has been a valuable experience, as it involves hands-on learning and practical application of theoretical concepts. This approach has equipped me with the ability to apply what I’ve learned not just in theory, but also in real-world scenarios.
If you want to get a taste of my skills and projects, don't hesitate to take a look here.

Among the various subjects, my favorites have been deep learning and natural language processing, both of which involve advanced machine learning techniques. I am particularly fascinated by how complex models can be trained and I enjoy exploring different model architectures.

My Hobbies

Beyond my professional and academic pursuits, I am involved in personal projects and hobbies that reflect my love of technology and fitness. Tinkering with electrical circuits, software development and data science are not just pastimes, but extensions of my passion for engineering. I also value my physical wellbeing and regularly go to the gym to keep fit in the midst of my technological endeavours. In addition, my interest in computing extends to building my own computers, including a custom-built machine for deep learning applications.