🌍 Based in Berlin | 📊 Data Analyst | 🤖 Data Scientist | 🐱 Cat lover
Hi everyone, I am Dido 👋
Six years ago, I moved from Belgium to Berlin, and I have been on a journey of learning, growth, and curiosity ever since. After starting my career in Berlin with customer care and sales, I transitioned into data: exploring how insights can inform smarter decisions and drive positive change.
I am especially motivated by projects with a focus on culture, environment, and social impact. This year, I studied at Masterschool and built a portfolio of end-to-end projects using Python, SQL, Tableau, and Streamlit. I’ll complete my internship in December 2025 and am excited to begin my first full-time Data Analyst role in early 2026.
Currently finishing a data internship at Webeet and looking for full-time working opportunities. Feel free to reach out if your data team is expanding!
Languages & Libraries: Python (pandas, NumPy, scikit-learn, XGBoost, TensorFlow/Keras, NLTK, spaCy), R, SQL
Visualization & BI: Tableau, Streamlit, Matplotlib, Seaborn
Databases & Querying: SQL (Postgres, Beekeeper, BigQuery, Snowflake, DBeaver), APIs, web scraping, ETL pipelines
Other: Git/GitHub, MLflow
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Berlin Subdistrict Explorer – Recommender system & dashboard exploring affordability across 96 Berlin subdistricts (Python, SQL, Tableau, Streamlit)
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Retail Time Series Forecasting – Forecasting sales across stores/items (Python, XGBoost Regressor, LSTM, ARIMA/SARIMA, Streamlit)
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Customer Segmentation TravelTide – Personalized reward program based on customer profiles (SQL, Tableau, Python, K-Means, DBSCAN)