Jens Perregaard Thorsen
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Jens Perregaard Thorsen Email & Phone Number

Data Scientist at raffle.ai
Location: Copenhagen, Capital Region Of Denmark, Denmark 3 work roles 5 schools
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Current company
Role
Data Scientist
Location
Copenhagen, Capital Region Of Denmark, Denmark
Company size

Who is Jens Perregaard Thorsen? Overview

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Quick answer

Jens Perregaard Thorsen is listed as Data Scientist at raffle.ai, a company with 25 employees, based in Copenhagen, Capital Region Of Denmark, Denmark. AeroLeads shows a matched LinkedIn profile for Jens Perregaard Thorsen.

Jens Perregaard Thorsen previously worked as Student Assistant at Nov and Teaching Assistant at Dtu - Technical University Of Denmark. Jens Perregaard Thorsen holds Msc, Business Analytics - Data Science - Machine Learning, ~11.6/12 from Dtu - Technical University Of Denmark.

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Email format at raffle.ai

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raffle.ai

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Profile bio

About Jens Perregaard Thorsen

I am a dedicated and results-driven Data Science professional with a strong academic background and a passion for Machine Learning and Natural Language Processing (NLP). As a diligent student in my Data Science Master's program, I have strived to maintain high standards and develop a profound grasp of the field.Currently, I am in the concluding phases of my Master's thesis, undertaken in partnership with Raffle.ai, a prominent player in the domain of AI-powered search and insight engines. This research journey has enabled me to explore the forefront of technology, pushing the limits of language understanding and generation. It has also provided me with valuable industry insights and practical exposure to applying NLP and Machine Learning techniques to address real-world challenges.Additionally, I have had the privilege of contributing to an open-source framework called 'Variational Open Domain' on GitHub, which is being developed by researchers at Raffle.ai. This collaboration has allowed me to actively participate in the open-source community, where I've contributed to the advancement of tools and resources in the field of AI, further enriching my experience and skill set.In addition to my academic pursuits and industry collaborations, I have gained practical experience in MLOps (Machine Learning Operations) through my work in deploying Machine Learning services at NOV Flexibles. This journey has honed my ability to translate machine learning models into practical solutions that drive business value. I am passionate about bridging the gap between research and application, ensuring that the power of Machine Learning is harnessed effectively in real-world scenarios.My goal is to continue my journey in the field of Data Science and Machine Learning, leveraging my academic achievements, industry collaborations, and practical skills to contribute to innovative projects and make a meaningful impact. I am enthusiastic about collaborating with like-minded professionals and organizations to push the boundaries of what's possible in this exciting field.

Current workplace

Jens Perregaard Thorsen's current company

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raffle.ai
Raffle.Ai
Data Scientist
copenhagen, capital region, denmark
Website
Employees
25
AeroLeads page
3 roles

Jens Perregaard Thorsen work experience

A career timeline built from the work history available for this profile.

Data Scientist

Current

Hovedstaden, Danmark

Feb 2024 - Present

Student Assistant

Nov

BrΓΈndby

As a dedicated student worker at NOV for over three years and continuing, I am gaining valuable experience in the field of data science and software development. My role encompasses a diverse range of responsibilities, including:𝐌𝐚𝐜𝐑𝐒𝐧𝐞 π‹πžπšπ«π§π’π§π  πƒπžπ―πžπ₯𝐨𝐩𝐦𝐞𝐧𝐭: I play a pivotal role in designing, developing, and operating ML models. My proficiency extends to.

Jan 2020 - Jan 2024

Teaching Assistant

Lyngby

During my academic tenure at DTU, I had the privilege of serving as a Teaching Assistant for the following courses:02450: Introduction to Machine Learning and Data Mining (2022)01901: Calculus and Algebra 1 (2019 & 2021)

Sep 2019 - Jun 2022
Team & coworkers

Colleagues at raffle.ai

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5 education records

Jens Perregaard Thorsen education

Msc, Business Analytics - Data Science - Machine Learning, ~11.6/12

π“π‘πžπ¬π’π¬: Efficient Training of Large Language Models in the Medical Domain The thesis focuses on the fine-tuning of state-of-the-art Large.

Exchange Semester

During my exchange semester at the University of Strathclyde, I had the privilege of: Β· π„π±π©πšπ§ππ’π§π  𝐌𝐲 π€πœπšππžπ¦π’πœ 𝐇𝐨𝐫𝐒𝐳𝐨𝐧𝐬: Took courses in my.

Bsc, Sustainable Energy, ~11.5/12

This program provided me with a strong foundation in sustainable energy solutions. While exploring diverse subjects like renewable energy.

Secondary School Diploma, Natural Science (Mat A, Fys A, Kemi B)

Alssundgymnasiet SΓΈnderborg, Stx

Exchange Student

Wakatipu High School, Queenstown, New Zealand
FAQ

Frequently asked questions about Jens Perregaard Thorsen

Quick answers generated from the profile data available on this page.

What company does Jens Perregaard Thorsen work for?

Jens Perregaard Thorsen works for raffle.ai.

What is Jens Perregaard Thorsen's role at raffle.ai?

Jens Perregaard Thorsen is listed as Data Scientist at raffle.ai.

Where is Jens Perregaard Thorsen based?

Jens Perregaard Thorsen is based in Copenhagen, Capital Region Of Denmark, Denmark while working with raffle.ai.

What companies has Jens Perregaard Thorsen worked for?

Jens Perregaard Thorsen has worked for Raffle.Ai, Nov, and Dtu - Technical University Of Denmark.

Who are Jens Perregaard Thorsen's colleagues at raffle.ai?

Jens Perregaard Thorsen's colleagues at raffle.ai include Stefan Tendo Andersen, Mads Sejersen, Oliver Caspers Juul, Lorenzo Zanchetta, and Șerban - Ioan Ciofu.

How can I contact Jens Perregaard Thorsen?

You can use AeroLeads to view verified contact signals for Jens Perregaard Thorsen at raffle.ai, including work email, phone, and LinkedIn data when available.

What schools did Jens Perregaard Thorsen attend?

Jens Perregaard Thorsen holds Msc, Business Analytics - Data Science - Machine Learning, ~11.6/12 from Dtu - Technical University Of Denmark.

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