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Sven Eschlbeck

@sveneschlbeck

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Solution Architect and Data Scientist with expertise in process engineering.

Germany

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What I'm looking for

I seek a role that fosters innovation and offers opportunities for growth.

I am a dedicated Solution Architect and Data Scientist with a strong academic foundation, holding a B.Sc. in Applied Computer Science and an M.Sc. in Business Information Systems. My professional journey spans over five years, where I have honed my skills in various sectors including Healthcare, Research, and Semiconductors. I have a proven track record in Solution Architecture and Data Analysis, complemented by my experience in Software Development and Process Engineering.

Throughout my career, I have successfully led projects that leverage machine learning and data analysis to drive efficiency and innovation. At ZEISS, I developed a measuring system that significantly improved process stability, and I created predictive maintenance software that reduced machine downtime by over 50%. My work as a Visiting Researcher involved analyzing marine fisheries data, showcasing my ability to apply data science in diverse fields. I am passionate about using technology to solve complex problems and contribute to meaningful projects.

Experience

Work history, roles, and key accomplishments

Current

Career Break

Current

Self Employed

Sep 2023 - Present (2 years 9 months)

Embarked on a backpacking trip across South America, volunteering in agriculture, education, and hospitality.

Volunteering Cultural Exchange Communication Problem Solving

EUV Lithography Process Development Engineer

ZEISS

Jan 2024 - Apr 2024 (3 months)

Developed hardware and software for a measuring system to analyze the stability of ultrasonic nozzles. Led project management including contract negotiations and implementation to improve process stability.

Python OpenCV Project Management Data Analysis Machine Learning

Data Science Working Student

ZEISS

Sep 2022 - Jan 2024 (1 year 4 months)

Developed predictive maintenance software using Python and Tesseract to analyze error messages, significantly reducing machine downtime.

Python Tesseract Data Analysis Machine Learning Software Development

Visiting Researcher (Data Scientist)

CSIC-ICM

Feb 2022 - Jul 2022 (5 months)

Analyzed and visualized large datasets of marine fisheries using R and Python to assist in predicting species' reproductive states.

R Python Data Analysis Data Visualization Research

Medical Data Machine Learning Intern

INSIGHT Health

Mar 2021 - Jan 2022 (10 months)

Conducted a machine learning project to predict healthcare trends using Keras and TensorFlow, focusing on medication sales and patient clustering.

Keras TensorFlow Machine Learning Data Cleaning

DevOps Working Student

INSIGHT Health

Nov 2019 - Feb 2021 (1 year 3 months)

Implemented Git-based version control for the SQL development team, setting up repositories and CI/CD pipelines while training staff.

Git SQL CI CD Version Control

Education

Degrees, certifications, and relevant coursework

Steinbeis-Hochschule

Master of Science, Business Information Systems

2022 - 2024

Pursuing a Master of Science in Business Information Systems with a thesis focused on image analysis, integrating advanced concepts in information systems and data management.

Fresenius University of Applied Sciences

Bachelor of Science, Applied Computer Science

2019 - 2022

Completed a Bachelor of Science in Applied Computer Science with a thesis on numerical simulations, emphasizing practical applications of computer science principles.