Data Analysis & Machine-Statistical Learning

05/03/2026

Webinar powered by Allwyn,in collaboration with the MSc in Data Analysis and Machine Learning (DAMSL) of the Department of Mathematics and Applied Mathematics at the University of Crete.

Data as a “GPS” in the Digital Customer Journey: The Role of the Data Scientist in Real-Market Decision Making

Agenda

Section 1: Practical application of Machine Learning: Realistic examples from the online gaming industry.

Section 2: Technology in the hands of a Data Scientist: Programming languages, visualization tools, and predictive algorithms.

Section 3: The profile of today’s Data Scientist: Must-have traits. Will AI really take our jobs? Myths and realities.

Section 4: From studies to the labor market: Realistic steps for integration and career development for a graduating student.

Time: Mar 5, 2026 01:00 – 03.00 PM Athens
Join Zoom Meeting
https://opap-gr.zoom.us/j/85624699024?pwd=RBzzIbbn8gTwqmlll1PazDEk3Qo7pO.1

Meeting ID: 856 2469 9024

Each session will conclude with a short Q&A and discussion period.

About the Speakers

George Marinakos – Online Data Analytics Director at Allwyn Hellas G. Marinakos has been active for over 15 years in the field of Data Science, with experience in consulting, pharmaceutical, banking, and online gaming companies. He is an economist with postgraduate studies in Statistics and Machine Learning. Currently, he leads the Online Analytics team at Allwyn Hellas, focusing on analyzing customer behavior and supporting decision-making for pamestoixima.gr and allwyn.gr.

Manos Nikolopoulos – Online Data Analytics Manager at Allwyn Hellas / Allwyn.gr M. Nikolopoulos has over 10 years of experience in Data Science, having worked in publishing houses, insurance, and online gaming companies. He is a mathematician with postgraduate studies in Business Analytics. Today, he leads the team of analysts for the allwyn.gr website.

Christos Platias – Online Data Analytics Manager at Allwyn Hellas / pamestoixima.gr C. Platias has over 10 years of experience in Data Science, with a background in secondary education, betting trading, and machine learning. He is a mathematician with postgraduate studies in Risk Analytics and Machine Learning. Currently, he leads the team of analysts for the pamestoixima.gr website.

Zoom is the leader in modern enterprise cloud communications.

12/02/2026

Spring Semester 2025-2026

Classes begin on Monday 9th of February / Program Course Timetable
(https://docs.google.com/spreadsheets/d/1f5yspDU82NlRjUMiyHS2KR9tHo_eHp3Dti7w8g7m5Mw/edit?gid=1222086035 =1222086035)

12/02/2026

Call for Applicants for the Master’s Programme on “Data Analysis & Machine-Statistical Learning – DAMSL”, Deadline: April 27th 2026

The Department of Mathematics & Applied Mathematics of the University of Crete, the Department of Computer Science of the University of Crete, the Institute of Applied & Computational Mathematics (IACM) of FORTH and the Institute of Computer Science (ICS) of the FORTH, invite applications for the Master’s Program: Data Analysis & Machine-Statistical Learning for the academic year 2026-2027. Deadline: April 27th 2026 !
The program accepts applicants with a strong background in mathematics, computer science, engineering, statistics, and applied mathematics. Suitable candidates should hold a recent university degree in any of the above or similar disciplines.

To download the file : https://lnkd.in/d2JC9XKV

For more information, please visit the program’s website - https://mscs.uoc.gr/damsl/

Data Analysis & Machine – Statistical Learning Data Analysis & Machine - Statistical Learning Graduate Programme University of Crete (UOC) Dept. of Mathematics and Applied Mathematics Dept. of Computer Science Foundation for Research & Technology Hellas (FORTH)Institute of Applied and Computationa...

20/09/2025

Classes begin on Monday September 22nd, Έναρξη μαθημάτων Δευτέρα 22 Σεπτεμβρίου

Program Course / Ωρολόγιο πρόγραμμα Μαθημάτων

05/09/2025

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Στις 10 Ιουλίου 2025, η Λεωνόρα Σταυγιανουδάκη, παρουσίασε τη διπλωματική της εργασία με τίτλο "Logistic Regressions on Principal Components: Supervised Classifiers for Olive Oil samples". Επόπτης της εργασίας ήταν ο Δρ. Γιάννης Καμαριανάκης, Κύριος Ερευνητής στο Ινστιτούτο Υπολογιστικών Μαθηματικών του Ιδρύματος Τεχνολογίας και Έρευνας.

Τμήμα Μαθηματικών και Εφαρμοσμένων Μαθηματικών ΠΚ

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Επόπτης της εργασίας ήταν ο Δρ. Γιάννης Πανταζής (Yannis Pantazis), Κύριος Ερευνητής στο Ινστιτούτο Υπολογιστικών Μαθηματικών του Ιδρύματος Τεχνολογίας και Έρευνας.

Πανεπιστήμιο Κρήτης- University of Crete

18/07/2025

Στις 4 Ιουλίου 2025, ο Παναγιώτης Ευαγγελιδάκης παρουσίασε τη
μεταπτυχιακή του εργασία με τίτλο "A Comparative Analysis of Robust Penalized Estimators for Periodic Time Series" ως μέρος των υποχρεώσεών του για την απονομή Μεταπτυχιακού
Διπλώματος Ειδίκευσης του Προγράμματος Μεταπτυχιακών Σπουδών με τίτλο Data Analysis and Machine-Statistical Learning.

Επόπτης της εργασίας ήταν ο Δρ. Γιάννης Καμαριανάκης, Κύριος Ερευνητής στο Ινστιτούτο Υπολογιστικών Μαθηματικών του Ιδρύματος Τεχνολογίας και Έρευνας.

Ίδρυμα Τεχνολογίας και Έρευνας
Τμήμα Μαθηματικών και Εφαρμοσμένων Μαθηματικών ΠΚ
Πανεπιστήμιο Κρήτης- University of Crete