Skip to content
View ckeuss's full-sized avatar
  • Berlin

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Block or report ckeuss

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ckeuss/README.md

Hi there 👋

I’m Claudia — an interior architect (M.A.) turned data analyst with several years of experience in the building sector. My passion lies in analyzing and translating complex data into meaningful insights to support informed decision-making.

I’m particularly passionate about applying data-driven approaches to improve urban living conditions, promote sustainability, and explore the socio-spatial dynamics of built environments. While I am still expanding my expertise in these fields, I am eager to combine my analytical skills with my domain knowledge to uncover patterns, trends, and opportunities. Additionally, I value the visual and communicative aspects of data, drawing inspiration from experts like e.g. Alberto Cairo and Edward Tufte.

I have finished a 9-month training with courses in
R | Python | SQL | Data Science | Power BI | Tableau

📊 Data Analytics & Visualization
🔍 Exploratory Data Analysis & Predictive Modeling
🏙 Built Environment, Sustainability, Socio-Spatial Research
📈 Data-Driven Decision Making & Storytelling

Currently, I’m focusing on enhancing my skills in Python, exploring Streamlit and QGIS, and expanding my experience with open data.

Adobe R Python Matplotlib NumPy Pandas GeoPandas scikit-learn MySQL PyTorch

I am located in Berlin and open for collaboration and job opportunities. On this page I will document my learning journey with projects from the courses, my recently finished internship or self-study. Feel free to review my portfolio! ✨

Pinned Loading

  1. BVV BVV Public

    This streamlit app allows users to explore council and meeting data for Berlin’s districts, providing insights into local governance.

    Python

  2. technologiestiftung/odis-cardgame technologiestiftung/odis-cardgame Public

    Scripts to create a card game based on Berlins open data

    Jupyter Notebook

  3. Airbnb_Shiny_App Airbnb_Shiny_App Public

    This app shows the price ranges and number of Airbnb accommodation listings depending on various factors in Berlin in 2023

    R

  4. Boston_Housing_Prices Boston_Housing_Prices Public

    This exploratory data analysis examines factors influencing Bostons housing prices

    Jupyter Notebook

  5. Bike_store Bike_store Public

    This exploratory data analysis examines customer, product and sales data of a retail bike store

    Jupyter Notebook

  6. UN_R_dataset UN_R_dataset Public

    In this R Markdown file different hypotheses based on the R built-in data UN are tested