Thanasis Dritsas Email & Phone Number | As a Machine Learning Engineer at Pandora, I leverage my MLOps expertise and my skills in Databricks, Azure, and software engineering to design, implement, and maintain a framework for standardizing the productionization of the company's ML solutions. I have been in this role for over a year and a half, and I enjoy working with a talented and diverse team of data scientists and engineers. I have a strong background in machine learning, deep learning, recommender systems, computer vision and NLP, with a diploma in electrical and computer engineering, master degrees in management and data science. I am passionate about applying data science and AI to solve real-world problems and create value for customers and stakeholders.

Thanasis Dritsas

As a Machine Learning Engineer at Pandora, I leverage my MLOps expertise and my skills in Databricks...
Copenhagen Capital, Copenhagen Capital, Denmark

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Thanasis Dritsas’s Email tdritsas@pandoragroup.com

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Thanasis Dritsas’s Location Copenhagen Capital, Copenhagen Capital, Denmark

Thanasis Dritsas’s Current Industry Pandora

Thanasis Dritsas’s Prior Industry Moodagent | Altran | Rtl | A Metaxiotis | Isomat

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Work Experience

Pandora

Machine Learning Engineer

2022-08-01 00:00:00 - Present

Moodagent

Machine Learning Engineer

2021-06-01 00:00:00 - 2022-03-01 00:00:00

Altran

Junior Data & Analytics Consultant

2019-10-01 00:00:00 - 2020-05-01 00:00:00

Rtl

Data Scientist Intern

2019-04-01 00:00:00 - 2019-07-01 00:00:00

A Metaxiotis

Head Of Technical Support

2014-08-01 00:00:00 - 2016-05-01 00:00:00

Isomat

Corporate Procedures Consultant

2012-01-01 00:00:00 - 2012-05-01 00:00:00

Skills

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Languages

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FAQ About Thanasis Dritsas

Thanasis Dritsas is located at
Copenhagen Capital, Copenhagen Capital, Denmark

Thanasis Dritsas is a As a Machine Learning Engineer at Pandora, I leverage my MLOps expertise and my skills in Databricks, Azure, and software engineering to design, implement, and maintain a framework for standardizing the productionization of the company's ML solutions. I have been in this role for over a year and a half, and I enjoy working with a talented and diverse team of data scientists and engineers. I have a strong background in machine learning, deep learning, recommender systems, computer vision and NLP, with a diploma in electrical and computer engineering, master degrees in management and data science. I am passionate about applying data science and AI to solve real-world problems and create value for customers and stakeholders.