Berlin, Germany · Open to opportunities
I help teams move from raw numbers to clear answers: building BI dashboards stakeholders actually use, running rigorous A/B tests, and applying ML and NLP to lift ROI and guide strategy. Currently pursuing a double MSc in Data Science, AI & Digital Business and International Business.
I'm a data and marketing analyst who started out in marketing and grew into analytics — which means I care as much about the business question as the model behind the answer. I work end to end: pulling and cleaning data with SQL and Python, exploring it for patterns, and translating the results into dashboards and recommendations that non-technical stakeholders can act on.
Based in Berlin, I'm currently completing a double MSc in Data Science, AI & Digital Business and International Business. My recent work spans customer segmentation, demand forecasting, sentiment analysis, and campaign performance — consistently focused on lifting ROI and making reporting faster and clearer.
A few projects that show how I move from a question to a shipped, measurable result.
Built an end-to-end convolutional neural network pipeline to classify chest X-rays, from image preprocessing and augmentation through model training and evaluation.
Medical imaging classification with a CNN
Cleaned and vectorized text data, then trained and compared NLP models to classify sentiment as positive or negative.
Text classification across NLP model variants
Explored customer behavior for a fashion e-commerce platform and built a personalization approach to surface relevant products.
Personalization for a fashion e-commerce platform
Assembled a complete ML workflow — data cleaning, feature engineering, model training, and evaluation — into a single reproducible pipeline.
Reproducible workflow from raw data to model
Analyzed a classic-car dataset for restoration and auction insights, using visualization and correlation analysis to surface value drivers.
Insight-driven EDA for restoration & auction
The stack I reach for across the full lifecycle — from exploration to production.
Analyze data with SQL and Python to segment customers, build Tableau/Power BI dashboards, run A/B tests, and forecast demand — lifting ROI 20%+ and cutting reporting time 40%.
Managed digital campaigns and analyzed performance (CTR, CPC, conversions) to optimize ROI, increasing engagement by 40%.
Led social media strategy and multi-channel campaigns, analyzing performance metrics to optimize communication — growing engagement 20%.
Supported campaign execution and content development, and conducted market research for brand awareness initiatives.
Focused on data science, AI, and digital business alongside international business strategy.
Grade: 1.89. STIBET Scholarship for Extraordinary Social Engagement (2022, 2023).
Foundations in marketing, market research, and business analytics.
I'm open to data analyst, data science, and marketing analytics roles, plus freelance projects. Based in Berlin — the fastest way to reach me is email.
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Python
Pandas
NumPy
Tableau
Power BI
Excel
scikit-learn
Google Analytics (GA4)
Google Ads
Git
BigQuery
Jupyter