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Data Scientist with 3+ years in Machine Learning, Analytics & Applied LLMs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist and BI Analyst based in Berlin with 3+ years of professional experience designing, optimizing, and maintaining Power BI and SQL-based reporting and forecasting systems for 40+ stakeholders - including a DAX-based revenue forecasting model achieving 94% accuracy and SQL optimizations cutting dashboard load times from 5 minutes to 45 seconds. M.Sc. in Data Science (Feb 2026), with hands-on experience building machine learning models (XGBoost) and LLM-powered applications using LangChain, FastAPI, and Hugging Face – including a RAG-based route advisor and a deployed multi-model LLM app on Hugging Face Spaces. Comfortable across the full analytics-to-ML lifecycle, from stakeholder reporting to model deployment. EU Job Seeker Visa holder, fully eligible to work in Germany / the EU; fluent in English (C2).
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic research (M.Sc. Thesis) and personal projects, indicates a proactive and self-driven learning attitude. Their experience in both BI analysis and ML/LLM development shows adaptability and a broad interest in data-related fields. The EU Job Seeker Visa and C2 English proficiency suggest readiness for an international work environment. However, the current experience level (3 years) might be on the lower end for some senior roles, and the target role 'Data Scientist Data Scientist' is redundant, indicating a potential lack of clarity in self-positioning.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through debugging deployment issues and optimizing data processes. Their experience in cross-functional collaboration for UI/UX implementation and stakeholder reporting indicates good teamwork and communication. The ability to translate behavioral patterns into product-launch decisions suggests a business-oriented mindset.