# Student Ambassadors, real DSTI voices.

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Student life · Peer insight

Speak with DSTI alumni and experienced students about programmes, study modes, professional paths and everyday life within the DSTI community.

Irene Pham
Jean Milpied
Nathan De Blecker
Jade Vieval

14 contactable DSTI Ambassadors

01 — Why speak to them

## A useful conversation before you choose.

DSTI Ambassadors do not replace Admissions. They add another perspective: what the programme felt like, how they studied, how they moved into professional work and what they wish they had known earlier.

Programmes

### Ask about academic rhythm

How technical the programme feels, how to prepare, and how DSTI’s teaching approach works in practice.

Study modes

### On campus, Live Streamed or Online

Hear how different study formats fit around work, distance, relocation and personal organisation.

Careers

### From DSTI to professional roles

Talk about internships, projects, technical positioning and the move into data, AI, engineering or cyber roles.

02 — Meet them

## Choose the voice closest to your question.

Each card links directly to LinkedIn and email. Profiles are public so prospective students can decide who feels most relevant to their situation.

MSc in Data Science & AI Sophia-Antipolis

### Irene Pham

I’m a Machine Learning Engineer at Amadeus, focused on MLOps, cloud cost optimisation and Big Data. With a background in data science, AI and international business, I’m passionate about using data to solve real-world problems.

[LinkedIn](https://www.linkedin.com/in/irene-pham-23743711b/)
[Email](mailto:thi-thuy-duyen--irene-.pham@edu.dsti.institute)

MSc in Data Science & AI Paris

### Jean Milpied

Based in Paris with 15+ years in tech, I’m a Python developer specialising in data science. I lead agile data teams to drive impact on SaaS products through data and machine learning.

[LinkedIn](https://www.linkedin.com/in/jeanmilpied/)
[Email](mailto:jean.milpied@edu.dsti.institute)

MSc in Data Engineering for AI Sophia-Antipolis

### Nathan De Blecker

I’m a Machine Learning Engineer at Amadeus, focused on MLOps, cloud cost optimisation and Big Data. With a background in data science, AI and international business, I’m passionate about using data to solve real-world problems.

[LinkedIn](https://www.linkedin.com/in/nathan-de-blecker-222933275/)
[Email](mailto:nathan.de-blecker@edu.dsti.institute)

MSc in Data Analytics with AI Belgium

### Jade Vieval

After nearly nine years in sales, I transitioned into data analytics, driven by a new passion discovered through a skills assessment.

[LinkedIn](https://www.linkedin.com/in/jade-vieval-a2883341/)
[Email](mailto:jade.vieval@edu.dsti.institute)

MSc in Data Science & AI France and Luxembourg

### Medhi Famibelle

I am AI Practice Leader at AKABI. I hold an engineering degree from ENSEIRB, an Executive MBA from ESC and an MSc in Data Science & AI from DSTI. I am based in France and Luxembourg, where I work on artificial intelligence projects.

[LinkedIn](https://www.linkedin.com/in/famibelle/)
[Email](mailto:medhi.famibelle@edu.dsti.institute)

MSc in Data Analytics with AI Strasbourg

### Giti Shekari

I hold two bachelor’s degrees, one in Mechatronics and one in Computer Science, and I am pursuing my MSc in Data Analytics with AI at DSTI. I also work as a Data Analyst at Focal, focusing on consumer behaviour and product insights on big data.

[LinkedIn](https://www.linkedin.com/in/giti-shekari/)
[Email](mailto:giti.shekari@edu.dsti.institute)

MSc in Data Science & AI Sophia-Antipolis

### Mohamed Dhmine

Data Scientist at OGC Nice, focused on predictive analytics, business intelligence dashboards and performance analysis. With an MSc in Data Science & AI and expertise in machine learning and data visualisation, I’m passionate about using data in professional sport.

[LinkedIn](https://www.linkedin.com/in/mohamed-dhmine/)
[Email](mailto:mohamed.dhmine@edu.dsti.institute)

MSc in Data Engineering for AI Sophia-Antipolis

### Mark Dakroub

Cloud Data Engineer at Amadeus in Sophia-Antipolis and former AI Engineering Intern at LIRIS CNRS – Lyon. I focus on building scalable data solutions and ETL pipelines, transforming raw and complex data into actionable insights.

[LinkedIn](https://www.linkedin.com/in/mark-dakroub-a40822139/)
[Email](mailto:mark.dakroub@edu.dsti.institute)

MSc in Data Science & AI Paris

### Timmothy Dangeon

I began my MSc in Data Science & AI during my Doctor of Pharmacy studies. As a machine-learning engineer and pharmacist, I work in medtech using data and AI to improve patients’ health.

[LinkedIn](https://www.linkedin.com/in/timdangeon/)
[Email](mailto:timmothy.dangeon@edu.dsti.institute)

MSc in Data Science & AI Paris

### Edward Jenkins

With 5+ years of experience as a Data Scientist after a bachelor’s degree in economics, I joined DSTI to deepen my expertise. My work at INSIGHT2PROFIT in Cleveland focuses on causal analysis and classic machine-learning models.

[LinkedIn](https://www.linkedin.com/in/egjfour/)
[Email](mailto:eddie.jenkins@edu.dsti.institute)

MSc in Data Science & AI Canada

### Carlos Jesus Caro

Electrical Engineer with 15+ years of cross-industry experience. I specialise in connecting Data Science and Data Engineering, ensuring that advanced AI models are supported by solid data foundations.

[LinkedIn](https://www.linkedin.com/in/carlosjesuscaro/)
[Email](mailto:carlos.jesus-caro@edu.dsti.institute)

MSc in Data Analytics with AI Poland

### Pawel Dymek

I’m a Principal Data Engineer and part-time visiting academic lecturer. After experience in engineering, software development and analytics, I decided to strengthen my skills with a second MSc degree at DSTI, completed online in 2024.

[LinkedIn](https://www.linkedin.com/in/pdymek/)
[Email](mailto:pawel.dymek@edu.dsti.institute)

MSc in Data Science & AI Sénas

### Anslem Fondzewong

After two Master’s degrees and six years of experience as an IT official, I upskilled in Data Science, AI and Cloud Computing at DSTI. I now work on AI solutions and lead ALPHABITS.TECH, an initiative dedicated to AI education.

[LinkedIn](https://www.linkedin.com/in/fondzewong/)
[Email](mailto:fondzewong.wiyfengla-anslem@edu.dsti.institute)

MSc in Data Science & AI Marseille

### Antoine Herbet

After 15+ years as a physiotherapist and sport scientist, I dived into data science with DSTI as an online student. I now work in hospital, deploying and operating a healthcare data warehouse within a national and European framework.

[LinkedIn](https://www.linkedin.com/in/antoine-herbet-00864b37/)
[Email](mailto:antoine.herbet@edu.dsti.institute)

03 — How to contact

## Keep it simple and specific.

Write a short message, introduce your background, and ask the question that matters most to you. For official admission decisions, scholarships, documents and deadlines, DSTI Admissions remains the reference point.

1 Pick a profile close to your programme, study mode or career interest.

2 Use LinkedIn or email and ask one or two clear questions.

3 Use Admissions for formal application guidance and official decisions.

04 — Next step

## A human view, before the formal step.

Ambassadors help you picture the experience. Admissions helps you confirm eligibility, scholarship options, documents and your application timeline.
