Camille Van Hoffelen
Upcoming live training in data science
Next training: Fall 2021
Join a 6-week part-time training to practice and gain strong foundations in data science and machine learning.
Coding and math may seem intimidating at first, this live training will help you to become a key player in your Data Science team.
Part-time course compatible with your full-time job.
You will learn how to tame all types of data and reveal their secrets with Python 🐍
The nitty-gritty of data analysis: this chapter teaches you how to load, clean, and manipulate basic datasets in python.
Beyond tables: learn how to extract and communicate key insights from time-series, text, and image datasets.
Analytical power-up: this chapter adds clustering, dimensionality reduction, and anomaly detection to your data analysis techniques.
Moving past data summaries: this chapter introduces predictive models to solve fundamental machine learning tasks.
Taming the beast: this chapter shows how build accurate and effective machine learning models.
This chapter tests your skills on a public dataset by completing an exploratory data analysis report, and training at least one Machine Learning model.
Camille has worked as a Machine Learning Engineer for the last 7 years (Seal, DocuSign...), with a focus on large scale Natural Language Processing systems.
Camille graduated with an MSci in Physics from Imperial College London, before catching the data science bug and diving into legal AI with Seal Software, later acquired by Docusign.
He was a lecturer in Machine Learning at Ilia State University, and remains an avid presenter at meetups and hackathons around Europe.
Camille is currently the CTO & Co-founder of Watergenics, where he strives to build a sustainable future for our blue Planet by augmenting water quality sensors with AI.
Next training: July 19 - August 27
What you get
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We'd be happy to answer your questions, and check together if the program is a good fit for you.
Alumni, students & teachers are the heartbeat of the Jungle Program community.
Graduates are data scientists, machine learning engineers, full-stack developers and CTO of startups.
Read Amine’s story of how he started his career as DevOps at Orange, his passion for building drones, and you will know how he’s using data science and machine learning skill tree to capture the emotions through his drone in dangerous environments.
Read Leonie’s story of how she did her research about aeroelasticity at MIT & TU Berlin, how she does data analysis in aerospace engineering, and you will know more about her new challenges as a Machine Learning engineer in the aerospace industry.
Read Negar’s story of how she started off her career as a back-end developer in Georgia, became interested in Data Science & Machine Learning Engineering, and recently launched her company to enforce machine learning into mobile applications.