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Marc Olivier Bertoz

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

Workplace
General Aviation Handler Assistant
Location

Ticino

Employement type

internship

• Crew’s assistance on coordinating ground operations • Carrying out office management commissions

Swiss Armed Forces

2014-10 - 2015-07

Workplace
Sergeant
Location

Bern

Employement type

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

Workplace
Teacher
Location

Zürich

Employement type

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

Workplace
R&D Master Trainee – Applied Data Science
Location

Bern

Employement type

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