
Marc Olivier Bertoz
Location
Bern
Field of Study
Data Science
About
Data Science; Data Analysis;Machine Learning
Data Scientist driven by curiosity and committed to tackling complex problems to deliver impactful solutions. Possesses an analytical mindset and a process-oriented approach, with strong communication skills for collaborating across multidisciplinary teams and ensuring clarity of project goals and strategies. Proficient in industry-standard tools for data processing, analysis, and visualization, as well as in developing and deploying machine learning models.
Skills
Data Analysis
Google TensorFlow
Machine Learning
OpenCV
Power BI Desktop
Python
RStudio
Scikit-Learn
Open for
fulltime
Work Experience
Lugano Airport SA
2018-07 - 2018-07
General Aviation Handler Assistant
Ticino
internship
• Crew’s assistance on coordinating ground operations • Carrying out office management commissions
Swiss Armed Forces
2014-10 - 2015-07
Sergeant
Bern
fulltime
• Group leader of 10+ people: Organised and led training on several topics; Managed and assigned work / task for people according to specific mission; According to rapid change of situation, adapted the use of resources; • Communication with Superior: Delivered results presentation to superior officers, adapting the context for each final stakeholder; Illustrated mission strategy to superior officers, by exploiting basic tools, obtaining clear delivery of the thought behind it and what is the desired achievement; • Coordinator for Mobile Laboratory with Specialisation in Chemical Agents: Ensured the correct functionality of the instruments and vehicle; Guaranteed the readiness of the vehicle for each mission, via requirements assessments; Define and established processes to ease and optimise the workflow and communication;
ZHAW
2023-02 - 2023-03
Teacher
Zürich
parttime
• Responsible for the lectures of Tiny Machine Learning, • Teaching to ~40 students: Taught basic theory of Neural Network; Tutored the training process of a NN model with Edge Impulse platform and deploy on a WIO Terminal device;
Nestlé
2023-12 - 2024-12
R&D Master Trainee – Applied Data Science
Bern
internship
• Trained and finetuned ML Models: Trained predictive machine learning model on consumer sensory reviews, allowing to identify the best fit model to succeed in the goal of consumer preference prediction, • Trained NLP models: Trained NLP models, like BERT on Open Comments data from consumer reviews, to identify clusters and help labelling data (semi-supervised modelling), leading to understand the key points from the consumer, • Stakeholder’s Point of Contact: Acted as point of contact with external stakeholders for project-based activities like leading meetings, defining meeting’s agenda, defining next steps, etc. • Proposal of LLM Projects: Proposed different project with the involvement of Large Language Models (OpenAI) for specific use cases, with the goal to improve the workflow, • Support to Internal stakeholder: Supported internal stakeholders with data and non-data related tasks
Academic Experience
University of Applied Sciences and Arts of Southern Switzerland -
2016.09 - 2019.09
Bachelor of Science, BSc in Engineering and Management
Zurich University of Applied Sciences -
2022.02 - now
Master of Science, MSc in Master of Science in Life Sciences – Applied Computational Life Sciences