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Jürgen VagtJV

Jürgen Vagt

Data, Mobility & AI Automation Consultant

€650/day
Hamburg, DE
15+ years

Average response time: 1 hour

About Jürgen

As an experienced Data, Mobility & AI Automation Consultant, I help startups, SMEs, and corporates in Digital Transformation, Data Analytics, AI Automation, and E-Mobility turn complex challenges into actionable, data-driven strategies with measurable outcomes. I transform raw data into insights, optimize processes, automate workflows, and design intelligent business models that drive growth, efficiency, and scalability.

Core expertise includes:

Data Analytics & AI Automation: Designing interactive dashboards, predictive and machine learning models, CRISP-DM methodology, Python (Pandas, Scikit-learn), Power BI, and advanced data visualization.

Financial Modeling & Investor Pitches: Developing robust business cases, financial planning, revenue projections, and preparing strategies for EU grants such as Horizon and ZIM, helping secure multi-million euro funding.

Digital & Mobility Strategy: Crafting market strategies for E-Mobility, IoT, micromobility, and sustainable transport solutions, aligning technology adoption with business goals.

Process Automation & Cloud Migration: Implementing workflow optimization, CRM integration, enterprise reporting frameworks, and cloud-based systems to increase operational efficiency.

Key projects:

E-Mobility EU Market Analysis (2024) – 10-page CRISP-DM report with market share, growth projections, and actionable insights.

Telecom KPI Dashboard (2023) – Power BI implementation enabling real-time performance monitoring and data-driven decision-making.


I work 100% remotely, flexible 20–40 hours/week, combining technical expertise, strategic insight, and practical execution to deliver tangible business impact. My approach focuses on measurable results, data-driven growth, and enabling companies to leverage AI, analytics, and automation to increase competitiveness, optimize processes, and achieve sustainable long-term success in an ever-evolving digital landscape.

  • German

    Native or bilingual

  • English

    Fluent

Can work on-site
Hamburg (up to 50km), Frankfurt (Oder) (up to 50km), Berlin (up to 50km), Köln (up to 50km), München (up to 50km)

Experience

  • Telecommunications Giant (Top-3 DE)
    Senior Data & Mobility Consultant
    TELECOMMUNICATIONS
    April 2022 - August 2022 (4 months)
    Frankfurt am Main, Germany
    Led 5G-IoT projects for e-mobility fleets (e-scooters & car-sharing). Developed AI-driven predictive maintenance models using Scikit-learn and Pandas; integrated into Power BI dashboards. Results: 84% reduction in manual analysis, +20% battery lifespan prediction accuracy. Azure cloud migration and Airflow orchestration for 1.2M daily sensor data points. Coordinated EU Horizon 2020 grant application securing 7-figure funding.
    Predictive Modeling Scikit-learn Pandas Power BI Airflow
  • Urban Tech Unicorn (Series D, €250M+ Valuation)
    Head of Data Products – Smart City Mobility
    DEFENSE AND MILITARY
    June 2021 - December 2021 (6 months)
    Kassel, Germany
    Led a 12-person data team building MaaS (Mobility-as-a-Service) platform for 5 major EU cities. Designed multimodal journey optimizer using graph algorithms (NetworkX + Scikit-learn); reduced average user trip planning time by 41%. Integrated 18 public/private data sources via Airflow ETL (3.2B rows/year). Launched Power BI city dashboards adopted by 42 municipal partners. Secured €9.5M Horizon Europe grant for AI-driven traffic decongestion pilot.
    MaaS Scikit-learn Microsoft Power BI Airflow Transportation
  • National Postal Service (Public Sector, Green Mobility Initiative)
    Business Intelligence Analyst – Fleet Electrification
    PUBLIC SECTOR
    April 2021 - December 2021 (8 months)
    Bonn, Germany
    Transformed raw fleet telemetry into actionable insights for 2,800+ electric postal vehicles. Built end-to-end BI solution with Power BI & Azure Synapse; automated daily reporting for 42 regional hubs. Developed route efficiency models (Pandas + Scikit-learn) integrating weather & topography data; reduced energy waste by 19 %. Created CRISP-DM-compliant KPI framework for EU-funded electrification project (LIFE Programme). Ensured full DSGVO & ISO 27001 compliance in data handling.
    Fleet Management Power BI Microsoft Azure Pandas Microsoft Power BI

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Education

  • Diplom-Ökonom
    Universität Lüneburg
    Diplom-Ökonom

Skill set

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