Civil Engineer turned Data Analyst. I work with SQL, Python, R, Power BI, and Tableau to find patterns, build dashboards, and communicate insights. Currently enrolled in the AI Academy at Digital Learning Hub Luxembourg.
⭐ Featured: Luxembourg Data Stories
A personal data story: 47% of Luxembourg's 661,200 residents are foreign-born , the highest share in the EU. This infographic visualises immigration trends (2008–2022), top nationalities, and why Luxembourg cannot exist without migration. Built from STATEC 2025 official data.
A data-driven analysis of 80,000+ products and 343 peer-reviewed studies. Triggered by a €5.49 box of bio eggs in Luxembourg. Turns out the truth is more nuanced than the green label suggests.
Read analysisAnalysed 7 years of official GTFS schedule data (2018–2025) from Luxembourg's Open Data Portal to measure the real impact of making public transport free in 2020. Key finding: departures more than doubled (23,549 → 50,691), routes grew by 246, and weekend service expanded ×7.8 , far outpacing 15% population growth.
📁 Freelance & Data Projects
Trained on 49,518 international matches (1872–2026): Elo ratings for every national team, converted into expected goals, then 100,000 Monte Carlo simulations of the final. Verdict: Spain 54% – Argentina 46%. Full pipeline from data collection and cleaning to a live interactive dashboard.
Delivered for a client: an executive-ready Power BI dashboard translating healthcare billing and cost data into clear business insights. Includes dynamic parameters and filters across providers, departments, demographics, and locations — built with responsible handling of sensitive patient data and a clean, scalable data model.
Comprehensive market analysis of the top 5 manufacturers (VanArsdel, Abbas, Aliqui, Currus, Natura) covering sales channels, regional performance, and sentiment analysis , built as the final project of the BI Academy program.
View projectEnd-to-end loan portfolio analysis using SQL for data prep and three visualisation tools (Excel, Power BI, Tableau) to produce consistent insights on loan performance, borrower demographics, and risk areas.
View projectCleaned the Kaggle Layoffs_2022 dataset : handled missing values, standardised formats, removed duplicates , then performed exploratory analysis to reveal industry-wide trends in the 2022 job market.
View projectCleaned and transformed the Kaggle Bike Buyers dataset in Excel, then built a fully interactive dashboard with dynamic charts and slicers to explore purchasing behaviour by demographics and income.
View projectBuilt a Python web scraper using BeautifulSoup and requests to automatically extract product prices, ratings, and reviews from Amazon product pages and store them for downstream analysis.
View projectAnalysed Chicago Divvy bike share data to uncover usage patterns by time, weather, and location. Provided strategic recommendations on station distribution and rebalancing using R and ggplot2.
View projectA technical article unpacking one of Python's most misunderstood OOP concepts: how class and instance attributes differ, how Python resolves them via __dict__, attribute shadowing, mutable class attribute pitfalls, and Pythonic best practices with real examples.
End-to-end ML pipeline following the Holberton School curriculum at Digital Learning Hub Luxembourg : data preprocessing, feature engineering, model training, and evaluation using Python and scikit-learn.
View on GitHub🎓 Google / Coursera
🏫 Digital Learning Hub Luxembourg (DLH)
🏅 Other Training & Programmes
Hi, I'm Khadija Mustafa, a Civil Engineer who found her true calling in data. What started as tracking sales metrics at a Luxembourg e-commerce company turned into a full career pivot into data analytics and AI.
My engineering background gives me a problem-solving mindset that I now apply to data: breaking down complexity, finding what matters, and communicating it clearly. I'm a member of Girls in Tech Luxembourg and currently enrolled full-time in the AI Academy at Digital Learning Hub Luxembourg, following the Holberton School curriculum in machine learning engineering.
I'm passionate about turning raw, messy data into clear decisions: Power BI dashboards for marketing teams, for a marketing team machine learning pipelines for predictive insights, and AI agents built with open-source models.
I'm available for data analyst roles, freelance projects, and collaborations. Based in Luxembourg, open to remote and hybrid work.
