Lena HornLH
Open to opportunities

Lena Horn

@lenahorn

Data Analyst with expertise in data engineering and data science.

South Africa

What I'm looking for

Seeking a challenging role in a dynamic, innovative environment where I can apply my data engineering and science skills to drive business growth and deliver impactful solutions.

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

NE

Data Scientist

Nextgem

Jan 2021 - Jan 2023 (2 years)

Worked on developing an application for monitoring financial transactions in a Dutch bank. I implemented a data warehouse system and utilized Python and SQL for database design and reporting.

Education

Degrees, certifications, and relevant coursework

Tilburg University logoTU

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 logoTU

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

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