Description

With a strong foundation in physics and mathematics, I have transitioned into the field of data science, where I excel at transforming complex datasets into innovative solutions. As a BizDevOps Engineer at SBB CFF FFS, I lead product development for database management applications, optimizing data products to enhance decision-making and operational efficiency. My expertise lies in machine learning and statistical analysis, demonstrated through projects such as time-series forecasting for electricity markets and the development of deep learning models.

I hold multiple certifications, including the IBM Data Science Professional and Azure Data Engineer, which bolster my technical skills in Python, R, and data visualization tools like Power BI. My diverse experience spans roles at PostFinance, Rolex, and volunteer work as a firefighter, showcasing my ability to adapt and thrive in various environments.

Passionate about leveraging technology for impactful results, I continuously seek new challenges and opportunities to apply my skills in data science and engineering to drive innovation and improve customer experiences.

Langues

Français
Bilingue ou natif
Allemand
Capacité professionnelle complète
Espagnol
Capacité professionnelle limitée
Anglais
Capacité professionnelle complète

Préférences en matière de lieu de travail

En télétravail uniquement

Travaille majoritairement à distance

SBB CFF FFS (CH)
BizDevOps Engineer
TRANSPORTS
février 2024 - Aujourd'hui (2 ans et 4 mois)
Bern, Switzerland
Software developer for a database management application in order to develop data products.
Defined product in collaboration with stakeholders.
Optimized Power BI Dashboard for construction planning.
ETL & ELT as well as CI/CD
Kotlin MSSQL ETL ELT Python
SBB CFF FFS (CH)
Career Starter Data Science
TRANSPORTS
septembre 2022 - février 2024 (1 an et 5 mois)
Bern, Switzerland
Three internships within different teams in the company
1. Implementation of an optimizer for the rolling stock.
2. Developed a deep learning model for time-series forecasting of electricity markets, offering insights into our hydroelectric power pricing.
3. Developed PoCs and MVP to gain insights into customer experience using KPIs and Power BI dashboards.
Machine learning JavaScript Time Series Forecasting Analyse de données Python
Rolex
Internship: Data Science Methodology
LUXE
mars 2022 - août 2022 (5 mois)
Geneva, Switzerland
Developped GDPR-compliant methodologies for monitoring
and analyzing public data related to customer satisfaction.
Implemented a web scraper in Python for an e‐commerce platform.
Presented process and results to management enhancing decision-making.
Web Scraping Python Analyse de données Microsoft Powerpoint NLP