One-on-One Coaching
Teaching philosophy
Great instruction shortens the distance between learning and doing. Curriculum is built around business questions, then mapped to the smallest set of techniques that answer them reliably. Learners leave with checklists, templates, and example datasets they can drop into their work the next day.
Jun 2023 - Present
Workshops & Coaching (University Collaborations)
ENSSEA, USTHB, and National Polytechnic School
ENSSEA, USTHB, and National Polytechnic School
Led workshops in Data Science and Python for students from various academic
backgrounds
Jun 2023 - Present
Workshops & Coaching (University Collaborations)
ENSSEA, USTHB, and National Polytechnic School
ENSSEA, USTHB, and National Polytechnic School
Led workshops in Data Science and Python for students from various academic
backgrounds
Aug 2024 - Present
Data Science, Machine Learning, PowerBi & Python Instructor
GoMyCode – Algiers, Algeria
Delivered courses on Python, Machine Learning, and Data Science to adult learners
Created interactive content to simplify complex technical topics
Maintained a student satisfaction score of 86% (NPS)
Jun 2023 - Present
Workshops & Coaching (University Collaborations)
ENSSEA, USTHB, and National Polytechnic School
ENSSEA, USTHB, and National Polytechnic School
Led workshops in Data Science and Python for students from various academic
backgrounds
Jun 2023 - Present
Workshops & Coaching (University Collaborations)
ENSSEA, USTHB, and National Polytechnic School
ENSSEA, USTHB, and National Polytechnic School
Led workshops in Data Science and Python for students from various academic
backgrounds
Aug 2024 - Present
Data Science, Machine Learning, PowerBi & Python Instructor
GoMyCode – Algiers, Algeria
Delivered courses on Python, Machine Learning, and Data Science to adult learners
Created interactive content to simplify complex technical topics
Maintained a student satisfaction score of 86% (NPS)
Student projects
We put your ideas and thus your wishes in the form of a unique web project that
inspires you and you customers.
Computer vision for urban intelligence
An end‑of‑study project classifies urban zones from satellite imagery with a convolutional neural network (CNN), showcasing the full CV pipeline from preprocessing to evaluation. Beyond technical depth, the project highlights applied value—supporting urban planning, infrastructure monitoring, and environmental analyses with scalable models.
Movie recommendation system
Another student project delivers a practical recommender that surfaces similar movies using genre and rating signals, demonstr ating baseline retrieval and ranking patterns. It’s a clean blueprint for moving from simple similarity to hybrid recommenders that combine metadata, embeddings, and user behavior.
The project was made by: Ayoub Nasri
Spotify clustering mini‑lab
A student‑built recommendation exercise groups songs by in‑track features using clustering, making unsupervised learning intuitive and visual. The deliverable shows how feature engineering shapes clusters and how similarity can power playlisting, discovery, and personalization use‑cases.
Computer vision for urban intelligence
An end‑of‑study project classifies urban zones from satellite imagery with a convolutional neural network (CNN), showcasing the full CV pipeline from preprocessing to evaluation. Beyond technical depth, the project highlights applied value—supporting urban planning, infrastructure monitoring, and environmental analyses with scalable models.
Movie recommendation system
Another student project delivers a practical recommender that surfaces similar movies using genre and rating signals, demonstr ating baseline retrieval and ranking patterns. It’s a clean blueprint for moving from simple similarity to hybrid recommenders that combine metadata, embeddings, and user behavior.
The project was made by: Ayoub Nasri
Spotify clustering mini‑lab
A student‑built recommendation exercise groups songs by in‑track features using clustering, making unsupervised learning intuitive and visual. The deliverable shows how feature engineering shapes clusters and how similarity can power playlisting, discovery, and personalization use‑cases.
My Clients Story
Empowering people in new a digital journey with my super services
“ It was honestly a real pleasure doing this formation with you. I learned so much about Python from the best teacher, and at the same time I really enjoyed the classes with the whole group.
I really admire the fact that you’re a complete teacher – always ready to help and never lacking in any domain.
Thank you again for giving us such a great experience.
I’m Raslane Bachatene, proud to say I learned Python from you!
The goat himself ”
Raslane Bachatene
Web developer
“Hello, my name is Ali ZITANI, a trainee in the Python course, taught by the trainer AbdeNour, who has given me a lot of experience and ways of thinking in the field of programming. He has helped me develop myself, so I extend my sincere thanks to the trainer Abdel Nour. Good luck for more successes”
Ali Zitani
1st year INFO USTHB
“I’m Meriem, a student who attended your Python course at the Summer Academy in Gomycode.
I really appreciated having you as my teacher. You were always patient with us and took the time to answer every question clearly. I liked how you encouraged us by suggesting many useful resources and ideas, and how you didn’t limit the course to only the basics. You gave us plenty of time to learn and practice, which made the learning experience richer and more enjoyable. I truly enjoyed learning with you.
If I had to mention one thing, it’s that I felt the course was a bit too short. I know it’s a summer academy and meant to be only three weeks, but I would have loved to spend more time learning with you.”
Meriem B
College student (USTHB)
Sooo I’m Malak, I reaaally enjoyed the “Introduction to AI (Machine Learning)” course that I had with you at GoMyCode. It was super useful and waaay better than the previous course I took there, for many reasons: déjà because je maîtrisais mieux, but mostly because you explain very well and go straight to the point. You also take the time to help each and every student with their work individually since on avance à des rythmes différents, and I find that really cool. You give pas mal d’exemples pratiques pour comprendre, which to me is the best way to learn this kind of stuff. And you’re also very fun as an instructor, like we had constructive conversations in class, everyone had the chance to share their pov, and having fun and playing games when we had free time gives you like +1000 points as a very cool instructor.
Overall, I learned a lot and I’m super satisfied with my experience. I also felt so proud (and honestly super happy) when you asked me recently if you could share my project from the course with other students. It made me realize how valuable what I learned actually is, and it also made me even more grateful for the course, so thank you so much!”
Malak Nasri
College student (The higher school of banking “ESB”)
“Hi abdenour this is Ayoub from the Introduction to AI course and I wanted to say that I really enjoyed the way you explained complex topics in a simple, clear way and how open you were to questions. If anything, maybe a few more hands on examples would make it even better and thanks again for the great sessions”
Ayoub Nasri
College student (National Polytechnic school)
What partners and learners can expect
Clear requirements, transparent timelines, and deliverables you can maintain long after handoffpaired with reusable dashboards and notebooks instead of disposable slide decks. All supported by documentation that also serves as onboarding, enabling teams to keep delivering insights without constant support.
Phone
+213 540 52 20 50
