25.07.2026 aktualisiert
100 % verfügbar
AI and Data Analyst | Python, SQL, LLM & Generative AI
berlin, Deutschland
Weltweit
Master's in Data AnalyticsÜber mich
AI Engineer & Data Analyst specializing in GenAI, Python, SQL, and Power BI. I build LLM applications, custom MCP integrations, and automated ETL pipelines that transform complex enterprise data into agentic workflows and real-time executive dashboards. Available immediately.
Skills
AI AgentsRAGdbtLlamaIndexLangChainAmazon S3Data AnalysisBusiness IntelligenceGoogle BigQueryETLData WarehousingData IntelligencePythonPostgreSQLMachine Learning
TECHNICAL TOOLBOX & STACK
• GenAI & Agentic Systems: LLM APIs (OpenAI, Claude), Model Context Protocol (MCP), LangChain, LlamaIndex, CrewAI, GraphRAG, Prompt Engineering, RAG Frameworks
• Vector Databases & Knowledge Graphs: Neo4j, Pinecone, ChromaDB, Cypher Query Language
• Data Engineering & Transformation: DBT, Apache Airflow, Dagster, Snowflake, PostgreSQL, Polars, DuckDB, Great Expectations
• Cloud & Infrastructure: AWS (S3, Glue, Lambda, Athena, SageMaker), Google Cloud (GA4), Docker, CI/CD (Git, Bitbucket)
• Business Intelligence & APIs: Power BI (DAX & Power Query), Tableau, FastAPI, Streamlit, Advanced Excel
• Automation & Workflow: Python (Pandas/NumPy), n8n, Make.com, Jira, HubSpot
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2022
Sprachen
Englischverhandlungssicher
Projekthistorie
• Revenue Generation Engine: Architected a full-funnel customer conversion engine, integrating a gam-
ified lead capture system (95% visitor data capture rate) with a SQL-based UX optimization framework.
This initiative directly led to a 15% uplift in online sales and a 20% recovery of abandoned carts.
• Marketing Strategy & Budget Optimization: Redefined the paid marketing strategy by creating a
predictive cohort analysis model in GA4 and SQL. This model provided forward-looking insights that
doubled campaign ROAS, directly optimizing a multi-million dollar annual advertising budget.
• BI & Decision Velocity: Implemented the company’s first “single source of truth” for all commercial
KPIs by building a fully automated executive BI suite. This eliminated 100% of manual reporting and
reduced decision-making latency for leadership by an estimated 50%.
• Scalable Automation & Operational Efficiency: Constructed an automated product ingestion pipeline
using Python (NLP, Pandas) for a catalog of over 50,000 SKUs. This system was so efficient it enabled
the company to scale its product offerings 3x without increasing operational headcount.
• Enterprise Data Governance: Led a critical, cross-functional data governance initiative to unify dis-
parate financial and product datasets. This work achieved 100% audit compliance, mitigated financial
reporting risk, and created a new enterprise-wide standard for data integrity.
• Business Transformation through Data Access: Revolutionized departmental strategy by replacing
static reporting with a suite of 10+ real-time Tableau and Power BI dashboards. This transformed
key business units from reactive operations to strategic, data-driven decision-making, fundamentally
reshaping their workflows.