Applied machine learning
Independent learning · Model evaluation, feature engineering, and responsible interpretation.
BERLIN, GERMANY
Aisha Rahman / Data science student
I turn complex information into useful answers through analysis, machine learning, and clear visual stories.

Open to summer 2027 opportunities
BERLIN, GERMANY
MSc DATA SCIENCE
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Currently
MSc Data Science, Berlin
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What I work with
Python, SQL, and visual analysis
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How I work
Clear questions. Useful answers.
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What’s next
Internships and graduate roles
01 / ABOUT ME
Curiosity first. Clarity always.


What drew me to data science wasn’t just the technology. It was the possibility of asking better questions—and developing answers people can understand.
Through academic and independent projects, I explore predictive modeling, analysis, and visualization. I enjoy breaking complicated ideas into smaller parts and communicating the result clearly.
Studying in an international environment has shaped how I collaborate. Away from my laptop, you’ll find me cycling, taking film photographs, or exploring a new corner of Berlin.
Berlin, Germany · English, Urdu & German
Open to relocation and new perspectives.
02 / MY TOOLKIT
Explore the tools and habits behind my approach.
03 / EXPERIENCE & EDUCATION
Sample University · Berlin
Exploring machine learning, statistical methods, and data storytelling through practical coursework.
Sample Analytics Studio · Illustrative experience
Cleaned datasets, explored business questions, and helped communicate findings through dashboards.
Sample University · Illustrative qualification
Built a foundation in programming, databases, mathematics, and collaborative problem-solving.
04 / LEARNING NOTES
Independent learning · Model evaluation, feature engineering, and responsible interpretation.
Academic practice · Turning exploratory analysis into readable visual explanations.
Project experience · Learning to ask clearer questions and document decisions.
05 / LET’S CONNECT
Have an internship, a graduate role, or an interesting problem in mind? I’d love to hear about it.