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Neofytos Themistokleous

Neofytos Themistokleous

Senior Data Scientist



My Portfolio Highlights

My New Track

Python Fundamentals

My New Project

Introduction to DataCamp Projects

My New Course

Introduction to Python

Analytical innovator, pushing the boundaries of what data can reveal.

My Work

Take a look at my latest work.


Introduction to SQL


Introduction to Python


Intermediate Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

The University of Edinburgh | Oct 2022 - Present

Postgraduate Researcher

Optimising Distributed Computing Software for Data-Intensive Research I design and implement data analysis methods and machine learning models to extract meaningful insights from the data generated by the Large Hadron Collider experiments. I collaborate with particle physics experts and develop real-time data processing solutions while mentoring junior PhD students.
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The University of Edinburgh | Sep 2018 - Sep 2022

PhD in Experimental Particle Physics

Conducted online and offline analysis of large datasets produced at CERN, utilizing advanced statistical methods and machine learning techniques to uncover insights and patterns in the data. Developed and implemented data analysis pipelines, and performed data visualization and interpretation to communicate findings to the team and publish papers. Led an analysis team of 8 people, overseeing their progress and providing guidance and support as needed. Coordinated and facilitated regular team meetings to discuss progress and next steps, and effectively communicated results and findings to both technical members of the experiment team and general audience. Experience working with traditional machine learning models such as decision trees, and deep learning techniques including Neural Networks models like convolutional Neural Networks and generative-adversarial Neural Networks. Assisted in the instruction of a postgraduate level Data Analysis and Machine Learning course, providing support and guidance to students on topics including data analysis, machine learning, and programming, for four years. Led tutorials, graded assignments and exams, and provided feedback to students on their work.

CERN | Jun 2017 - Sep 2017

Summer Student - antimatter experiment

Got involved in the day-to-day work of the team at the AEgIS antimatter Experiment at CERN. Attended Collaboration meetings. Presented my work regularly. Followed summer school lectures and workshops about various aspects of modern physics, computing, data science and Machine Learning.

My Education

Take a look at my formal education

PhD, Experimental Particle PhysicsThe University of Edinburgh | 2018
MSc, High Performance ComputingThe University of Edinburgh | 2018
Bachelor's Degree, PhysicsUniversity of Cyprus | 2017

About Me

Neofytos Themistokleous

Data and Machine Learning Scientist | STEM Research Background

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