ChefTreff AI Hackathon 2025
Developed a computer vision application to identify broken objects.
Experienced Data Analyst
I am an experienced Data Analyst with a strong background in financial and market analytics and a deep understanding of global financial markets. My passion lies in transforming complex data into actionable insights that drive business growth, optimize decision-making, and improve operational efficiency. Currently, I am pursuing a Master’s in Management and Data Science at Leuphana University Lüneburg to deepen my expertise in machine learning, data-driven decision-making, and AI applications.
Core Skills
- Data Analytics & Visualization: Skilled in Python (Pandas, NumPy, Matplotlib, Seaborn, Selenium), SQL, Power BI, and Tableau to clean data, build dynamic dashboards, and automate reporting workflows.
- Machine Learning & Advanced Analytics: Proficient in customer segmentation (RFM analysis, K-Means clustering) and predictive modeling to enhance business strategy.
- Database & Automation: Working with Microsoft SQL Server and Oracle databases, using SQL to collect, structure, and aggregate operational and marketing data for real-time analytics and reporting.
- Data Storytelling: Adept at translating complex findings into clear, actionable insights for stakeholders.
- Financial & Market Analysis: Leveraging five years of experience in financial analysis and market research to support data-driven decision-making in insurance, telecom, and investment sectors.
Advanced proficiency:
- Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, PyMC, PyTorch, TensorFlow)
- Databases: SQL (PostgreSQL, MS SQL Server, Oracle), Neo4j (Cypher)
- Data Science & ML (Clustering, RFM, CatBoost, MCMC, Bayesian modeling)
- BI & Visualization (Power BI, Tableau, Neo4j Bloom)
- Web & Automation (FastAPI, Selenium, BeautifulSoup)
- Cloud & Tools (Git, Docker, Google Cloud Platform)
Portfolio
Pareto/NBD Model Implementation
Implemented the hierarchical Bayesian Pareto/NBD model from Abe (2009) applied to the CDNOW dataset.
Neo4j Graph Project
Implemented a graph database solution using Neo4j to analyze artists' influence.
Yandex Market Hackathon
Took part in a cross-functional hackathon to develop an ML product for the Yandex Market service packager.