Remo Collet

Background

About Remo Collet

Experienced data scientist and machine learning engineer with over two decades of expertise in scientific research, innovation, and product development. Holds a PhD in Theoretical Astrophysics from Uppsala University, showcasing a strong foundation in data science, numerical and mathematical modelling, high-performance computing, and project leadership. Passionate about utilizing innovative artificial intelligence (AI) and data solutions for impactful societal outcomes, I thrive in diverse, intellectually stimulating environments. As a resourceful and inventive professional, I approach challenges holistically and excel in agile team settings that demand creative, critical, and pragmatic thinking. I advocate for implementing cutting-edge technology and have a proven track record in agile hypothesis-driven experimentation and product development within the private sector. My adaptability to complex scenarios and swift mastery of new tools and technologies stem from a robust research background and a commitment to continuous learning. Alongside technical proficiency, I possess strong written and verbal communication skills in multiple languages, including English and Danish. With experience as a featured speaker at international astronomy conferences and public outreach events, I am skilled in conveying complex concepts to diverse audiences. As a project leader, lecturer, and student supervisor, I've cultivated interpersonal skills that position me as a supportive and collaborative leader. Outside of work, I enjoy sports, climbing, and outdoor activities with my family. E: remo.collet@gmail.com M:+45 25 72 27 54 Skills:* Data science, statistics, visualization: Pandas, NumPy, Matplotlib, TensorBoard * Machine learning: regression, classification, time series analysis, deep learning, convolutional neural networks (CNNs), generative AI (GAN, CycleGAN), NLP, PyTorch, Scikit-learn, TensorFlow * Coding: Python, C, Fortran (Object Oriented), IDL * MLOps: Amazon AWS SageMaker pipelines * DevOps: git (GitHub, GitLab), poetry, Atlassian (Jira, Confluence), Docker * High-performance computing: Amazon AWS EC2, MPI, OpenMP, Unix, Linux * Agile methodology, hypothesis-driven experimentation, Scrum * Product mindset, digital product development * Project and team leading, supervision, teaching * Oral and written communication and presentation of scientific and technical results #DataScience #AI #MachineLearning #NLP #GenAI #LLMs #Innovation #Research #Experimentation #Agile #Scrum #ONO