Jean Milpied joined the Applied MSc in Data Science & AI programme in Autumn 2019. Before DSTI, he was a Chemical Engineer from Chimie ParisTech, who has navigated in diverse technical fields, driven by his curiosity. After 3 years as a Combustion Engineer to optimise fuels for engines at IFP-EN, he moved to a Manager position in the sensors industry at Measurement Specialties, then TE Connectivity. Deeply in love with R&D, his last position was R&D manager of the automotive in-cabin sensors in Toulouse, France.
To summarise, my DNA is deeply engineering (physics, sensors, semiconductors, algorithms), with some practical skills in team management and project management, and now… Data Science.
Why did you choose to change your career?
That’s a good question. Why would you leave a well-paid position with responsibilities in a field you like? I have asked this question to myself a lot. And the main answer is my curiosity and need to learn new skills. As a R&D manager in 2020, everything is about data: we have to make design decisions on sensors based on data, sensor products are generating MB of data measurements every millisecond, and the possibility of AI deployment is very attractive and always comes to the table when discussing product performance improvement. However, I had no skills to play with all of this, and also no skills to properly drive my excellent team through all of these datasets. I had to do something.
That’s why I decided to get off the boat and go back to school (as I say to my kid).
How has the Applied MSc in Data Science & AI benefited you?
It’s been a terrific year. Surely too short and hard work, but an incredible experience. It brought to me all the basic needed skills to be able to spell the word Data Science on my own. In a very simple word: it killed my fear of getting my hands dirty with computers.
I can now speak the language, read articles, progress every day and call myself a Data Scientist with self-confidence.
Moreover, getting back to the school desk reinforces your humility and refreshes your brain (there is nothing like computing eigenvalues by hand to start a good day).
In 3 words, how would you describe your experience at DSTI?
Decisive, complete, empowering.
What was your favorite course/project?
Only one? That’s a hard question. I deeply enjoyed the Metaheuristics Optimisation class, and got the TSP virus (joke). Also, the AWS practical lessons made me discover the full power of the cloud computing and its applications for AI. In fact, all the courses with real-world projects were highly beneficial to me.
Tell us more about your internship (role, missions, projects, etc.)
Today, I acting as a Data Scientist at Altaroad, a start-up company selling products in the field of road digitalisation with IoT sensors. It’s a great work environment for me because it is in between my past experience and my new skills in a super dynamic team.
My mission there is to develop, train and put into production Machine Learning and neural network models that predict different features when a truck goes out of a work area: its load, is it overloaded? Is there a problem with tyres or with axles? It’s incredibly rich! So a true Data Scientist would say that I work in the field of supervised learning with complex SpatioTemporal Series.
Honestly, 90% of what I do on a daily basis I was not able to do it before DSTI. That’s the power of this programme.
What are your career goals?
My short-term goal is to continue as a Data Scientist in my internship company. Middle/long term is to be a Chief Technical Officer of a technology start-up company in the field of sensors and AI. I am truly confident that I can achieve this considering the boost and new horizon that DSTI brought to me.