BERLIN, GERMANY

Aisha Rahman / Data science student

A curious mind. A clearer picture.

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

01

Currently

MSc Data Science, Berlin

02

What I work with

Python, SQL, and visual analysis

03

How I work

Clear questions. Useful answers.

04

What’s next

Internships and graduate roles

01 / ABOUT ME

Good questions come before good answers.

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

From question to understanding.

Explore the tools and habits behind my approach.

Find the signal in the noise.

Cleaning, querying, exploring, and visualizing information with the question always in view.

AskExploreExplain
  • 01Python
  • 02SQL
  • 03Power BI
  • 04Tableau

03 / EXPERIENCE & EDUCATION

Learning by doing.

2025 — PRESENT

Sample University · Berlin

Exploring machine learning, statistical methods, and data storytelling through practical coursework.

SUMMER 2025

Sample Analytics Studio · Illustrative experience

Cleaned datasets, explored business questions, and helped communicate findings through dashboards.

2021 — 2025

Sample University · Illustrative qualification

Built a foundation in programming, databases, mathematics, and collaborative problem-solving.

04 / LEARNING NOTES

Notes from a curious mind.

01 / LEARNING NOTE

Applied machine learning

Independent learning · Model evaluation, feature engineering, and responsible interpretation.

02 / LEARNING NOTE

Data storytelling

Academic practice · Turning exploratory analysis into readable visual explanations.

03 / LEARNING NOTE

Collaborative problem-solving

Project experience · Learning to ask clearer questions and document decisions.

05 / LET’S CONNECT

Let’s make something useful.

Have an internship, a graduate role, or an interesting problem in mind? I’d love to hear about it.

Demo mode. Messages are validated locally and are never sent or stored.

Aisha Rahman.

Meridian — an illustrative student portfolio. All qualifications, experience, and project results shown are sample content.

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