The field of information technology is known for its dynamic nature, presenting thrilling opportunities. My current part-time position at Swisscom has enabled me to work with emerging technologies and establish a strong foundation for my future. As I aspire to become a data science expert, I have enrolled in a Bachelor of Applied Science in Data Science program at FHNW in Switzerland.
Graduation from this program will bring me closer to my ultimate objective of working as a consultant with a specialization in machine learning. In my leisure time, I invest in self-education through books and online courses to expand my knowledge and enhance my abilities.
Recognizing the importance of maintaining a balance between work and personal life, I devote my remaining free time to activities such as bouldering, spikeball, and handball.
Diligent iterations have enabled proficiency in various new technologies. Significant experience has been gained while working extensively with Apache Nifi and Apache Kafka. Tasks have included decoding data, categorizing it, and enriching relevant topics, performing aggregations as per request with Spark, and subsequently enhancing data using KSQL. Additionally, partial responsibility for EBM real-time sourcing has been entrusted.
The completion of the apprenticeship paved the way for attaining proficiency as a DevOps Engineer within the SAFe agile architecture. The role included contributing towards the development of a new project landscape utilizing .Net and React. Continued oversight of the Callback Data Record Sourcing responsibilities was also part of the role, with a focus on further enhancing skills in database structuring, modeling, and querying.
The apprenticeship at Swisscom offered the opportunity to gain insights into various jobs and projects. The initial focus was on building proficiency in Sharepoint and basic FrontEnd development. Thereafter, an assignment to a full English-speaking team involved a shift to JavaScript-based app development. The third year was dedicated to performance management, and the team contributed to the development of an application for the Swiss network.
The fundamentals and implementation of analysis and linear algebra in combination with ML algorithms have been studied thus far. Basic programming with R (tidyverse) and Python (Pandas, Numpy) has also been studied. Research design and structuring for SQL, Non-SQL, and Timeseries databases have been explored. These skills were put to the test in a project involving customer data for a Czech Bank.
While enabling myself to further my education, I have obtained a broad knowledge of mathematics, English, French, history, and natural sciences.