Profile Id 8714
Tarif horaire
€56,25 / hr
Pays
France
Qualification professionnelle Qualification
Secteur
Expert data
Junior
Années d’expérience
Taux horaire
EUR 56,25
Montant par jour
EUR 450
Description
Freelance and graduate engineer, Python enthusiast and passionate about Data Science and AI advances. After completing my studies on September 2019, I took part as teacher assistant in creating contents to showcase MSc students most basics contexts in machine learning and deep learning, in the purpose of both improving my theoretical knowledge and being able to better communicate about it. On my GitHub, you can check out contents I have created and showcase to students to illustrate ML concepts, as part of my current part-time position as teacher assistant. These Jupyter notebooks cover web-scrapping (selenium, beautifulsoup, apis), data manipulation and data wrangling using pandas, some data preparations for Deep Learning using numpy, introduction to neural networks architectures (simple perceptron, MLP, CNN, RNN/LSTM, etc.) and usage of Keras library, understanding of well-known ML models with respect to bias-variance trade-off. I also did provide introductory courses to Docker and the concept of Linux namespaces, but get increasingly involved in this tech for continuous integration and deployment of a side fullstack project consisting in a web-app designed for entrepreneurs in France to easily manage their invoices.
Qualités personnelles - Soft skills
I’m mostly self-learner. I tend to go deeply in each subject to have a good grasp of it before or while practicing it. I never implement or program something I don’t fully understand, I’m not knowledgeable for, and I don’t acknowledge being the best solution one would require. This may seem obvious, but not always a reality in the tech world: I like elegant, concise, straightforward, and self-explanatory but commented code.
Disponibilité
Plein temps
Curriculum Vitae (CV)
Langues
Mon parcours
Septembre 2019 - Présent
Septembre 2019 - Présent
Février 2019 - Septembre 2019
Février 2018 - Septembre 2018
Formation
2016 - 2019