Ioannis Petridis

Data Scientist @ KLDiscovery

About Ioannis Petridis

Ioannis Petridis is a Data Scientist currently working at KLDiscovery in London, England, since 2021. He has a strong academic background in Electrical and Computer Engineering and Biomedical Engineering, along with extensive experience in data science and machine learning across various organizations.

Work at KLDiscovery

Ioannis Petridis has been employed as a Data Scientist at KLDiscovery since 2021. He operates from the London office, where he has contributed to various data science projects over the past three years. His role involves utilizing advanced data analysis techniques to support the company's objectives.

Education and Expertise

Ioannis Petridis holds multiple degrees in engineering and data science. He completed his Bachelor's and Master's in Electrical & Computer Engineering at the University of Thessaly from 2007 to 2013. He also earned an MSc in Biomedical Engineering from Technische Universiteit Delft from 2014 to 2017 and another MSc in Information and Communications Systems from the Open University of Cyprus from 2014 to 2019. He is a PhD candidate at Aristotle University of Thessaloniki, focusing on Natural Language Processing (NLP).

Background

Before joining KLDiscovery, Ioannis Petridis worked in various roles related to data science and engineering. He served as a Data Scientist and Research Scientist at Aristotle University of Thessaloniki from 2018 to 2021. His earlier experience includes positions as a Biomedical Research Engineer at Leiden University Medical Center in 2017 and as a Data Science and Machine Learning Engineer at Upcom in 2018. He also has military experience as an Infantry Soldier in the Hellenic Army Academy.

Technical Skills and Tools

Ioannis Petridis is proficient in programming languages such as Python and utilizes tools like Azure DevOps, Docker, Postman, PostgreSQL, and DBeaver for data management and analysis. His expertise includes deploying data science solutions and engaging in Topic Modelling to derive insights from large datasets. He specializes in text-based data science techniques, including Text Clustering, Text Classification, and Text Summarization.

Research and Specialization

Ioannis Petridis has a strong focus on Natural Language Processing (NLP) and is knowledgeable in advanced technologies such as Transformer Models and Semantic Search. His research interests include extracting meaningful patterns from data through Topic Modelling and applying various text-based techniques to enhance data analysis.

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