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Nasiba ZokirovaNZ

Nasiba Zokirova

Data Science & AI Engineering Consultant

800 €/Tag
Düsseldorf, DE
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Nasiba

Google Cloud Platform Certified Professional Machine Learning Engineer and Databricks Certified AI Engineer with 10+ years of experience delivering end-to-end AI solutions in strictly regulated, enterprise environments. Proven expertise in building modern data pipelines (incl. GenAI) on cloud-based data intelligence platforms. Skilled in translating complex data problems into scalable, high-impact systems that support business-critical decisions.
  • Englisch

    Muttersprachlich oder zweisprachig

  • Deutsch

    Verhandlungssicher

Vor Ort möglich
Düsseldorf (bis zu 50 km), Munich (bis zu 50 km), Berlin (bis zu 50 km)

Projekt- und Berufserfahrung

  • Freelance
    Data Science & AI Engineering Consultant
    BANKEN & VERSICHERUNGEN
    Oktober 2025 - Heute (10 Monate)
    Düsseldorf, Deutschland
    Designed and deployed an LLM-powered backend service (RAG) for a European bank, enabling semantic search and analysis over financial documents.Built production-ready pipelines including data ingestion, chunking, embedding generation, vector search.
    Implemented agent-like workflows and orchestration logic using LangGraph state machine model for multi-step document retrieval and reasoning.
    Served RAG pipeline via Databricks Model Serving endpoints, integrating with downstream banking applications through job-orchestrated inference workflows.
    Ensured compliance, auditability, and secure data handling in a regulated environment.
    Databricks Data science Agentic AI Retrieval Augmented Generation LangGraph
  • Mercedes-Benz Mobility(prev. Financial Services)
    Lead Data Scientist
    AUTOMOBILSEKTOR
    April 2024 - September 2025 (1 Jahr und 5 Monate)
    70 Stuttgart, Germany
    Intelligent Pricing Platform: Led experimentation and causal analysis for dynamic pricing and financial product optimization, supporting executive decision-making across multiple regulated markets.
    Recommender Systems for Global Markets (EU, China, APAC): Developed scalable custom ML pipelines on Databricks to support customer retention, pricing, and financial decisioning across EU, China, and APAC markets, contributing to €37M annual revenue impact.
    Product Bundling Models:Oversaw the development of ensemble and associative mining models integrating vehicle and customer data to generate personalized bundles of financial and mobility products, with a projected uplift of €4M.
    Databricks Data science artificial intelligence Pricing strategy
  • MediaMarktSaturn Technology
    Senior Data Scientist
    E-COMMERCE
    März 2021 - Dezember 2023 (2 Jahre und 9 Monate)
    Munich, Deutschland
    AI-Powered Customer Segmentation: Designed, built, and deployed segmentation models on Google Cloud Platform using BigQuery, Vertex AI and CloudRun to enhance audience targeting for omnichannel campaigns; improved campaign precision and led to measurable gains in ROI and personalization accuracy.
    Value-Based Bidding (PoC): Led an external data science consulting team to develop and test an experimental bidding optimization model for paid search; demonstrated a 35% increase in revenue through automated, value-driven ad targeting.
    Centralized Category Recommender System: Integrated DBT models for transformation and data standardization across regional data warehouses and led communications with Spain, Turkey and the Netherlands product owners, ensuring reproducibility and data quality for production ML pipelines, achieving a mean 20% lift in online conversion rates and standardizing deployment handover for international engineering teams.
    Data science Google cloud ML Ops Kubeflow Terraform

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Ausbildung und Abschlüsse

  • Master of Science
    Technical University of Munich
    2025
    Mathematics in Data Science
  • Bachelor of Science
    Constructor University (previously Jacobs University)
    2014
    Mathematics

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