Lena Horn
@lenahorn
Data Analyst with expertise in data engineering and data science.
What I'm looking for
Skilled Data Analyst with experience in data modeling, pipeline development, and cloud-based analytics. With a strong background in SQL, Python and modern data tools like Snowflake, DBT, and Azure, I design scalable solutions that drive business intelligence and automation.
My expertise spans financial fraud detection, healthcare analytics, and enterprise data engineering, helping organizations unlock actionable insights through efficient data processing and reporting. I thrive in collaborative, result-oriented environments and have a proven track record in both industry and research, including published scientific work.
Let’s connect to discuss data-driven solutions!
Experience
Work history, roles, and key accomplishments
Data Engineer
Veldsinkgroep
Jan 2023 - Jan 2024 (1 year)
As a Data Engineer, I focused on data modeling and building data pipelines using tools like Snowflake and DBT. I managed database permissions and improved SQL queries while maintaining automated data acquisition processes.
Junior Researcher
Tilburg University
Jan 2021 - Jan 2022 (1 year)
Conducted scientific research analyzing hospital data to predict return to work after physical injury. Involved in data preprocessing and analysis using SPSS and Python.
Education
Degrees, certifications, and relevant coursework
Tilburg University
Master of Science, Data Science
2019 - 2020
Activities and societies: Published two scientific articles as first author.
Analyzed hospital data to predict return to work after physical injury. Conducted scientific research, data preprocessing, data analysis using SPSS, R, and Python, and presented findings.
Tilburg University
Master of Science, HR Analytics
2017 - 2019
Grade: cum laude
Activities and societies: Internship at the Data Science department in collaboration with Elizabeth-TweeSteden Hospital.
Specialized in HR Analytics, focusing on employing Machine Learning for the improvement of individual clinical decision making about brain tumor surgery. Involved in developing Machine Learning models to predict cognitive functioning after surgery, including data preprocessing and analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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