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Wolf ZabkaWZ

Average response time: 1 hour

Freelancer profile translated to English.
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About Wolf

As an AI & Data Consultant with seven years of experience in management and technology consulting, I help companies transform data and AI into measurable business value.

My Focus:GenAI solutions (RAG, Agentic AI), Data & AI Strategy, Data Governance, and the transition of AI initiatives from idea to implementation. I work at the intersection of business and technology and possess the ability to communicate at eye level with both C-level stakeholders and development teams.

Background:PhD in Physics (University of Zurich), Senior Data Science Consultant at PwC Switzerland, Manager for Data & Solution Architecture at Detecon. Published algorithm (BPM Conference), ethical AI concepts, and currently own GenAI prototypes with Claude API.

Industries:Public Sector, Financial Services, Telecommunications, Semiconductors, Pharma.

What I offer:
  • AI Use Case Identification
  • Data & AI Strategy Review
  • Data & AI Governance Frameworks
  • Requirements Management for AI Projects
  • Workshops, Trainings, and Stakeholder Alignment
  • GenAI Prototyping (RAG, Agentic AI)
Certifications:IBM RAG and Agentic AI, IBM Data Science, TOGAF, SAFe PO/PM, IREB, CDQ Data Management.
  • German

    Native or bilingual

  • English

    Fluent

Can work on-site
Zürich (up to 50km)

Experience

  • Detecon (Schweiz) AG
    Management Consultant
    CONSULTING AND AUDITS
    November 2022 - September 2025 (2 years and 10 months)
    Zürich, Switzerland
    Client Advisory & Business Development

    • Developed visions, business cases, and implementation roadmaps for data and AI products; conducted workshops translating stakeholder needs into clear user stories and backlogs
    • Led and contributed to proposals and public tenders (CHF 300k personal revenue, CHF 600k sales contribution)
    • Coached clients on agile processes and AI requirement specification

    Architecture & Standards

    • Led solution, data, and enterprise architecture activities across client projects in regulated environments, including roles as Product Owner, AI Requirements Engineer, Solution Architect, and Enterprise Architect
    • Created requirements engineering standards for AI projects, enhancing consistency across use cases
    • Designed and implemented standards for enterprise architecture management and solution lifecycle management

    Delivery & Implementation

    • Designed and coordinated the implementation of data pipelines for data products, enabling advanced analytics and reporting on enterprise-scale data
    • Led agile delivery of a data platform, coordinating a multinational team of up to 7 developers, analysts, and testers

    Practice Building

    • Led internal topic development in People Analytics and Process Mining with teams of up to 3 consultants
    Data Governance Enterprise Architecture Requirements Engineering Agile Delivery Data & AI Strategy
  • PwC Switzerland (Data & Analytics Team),
    Senior Data Science Consultant
    CONSULTING AND AUDITS
    October 2021 - October 2022 (1 year)
    Zürich, Switzerland
    Data Science & ML Engineering
    • Developed data engineering and machine learning pipelines for predictive and prescriptive analytics, including training data curation from multiple sources and feature engineering
    • Developed, published, and productized the Effort Mining algorithm, a novel method to estimate task execution times from ERP event logs; validated across multiple processes (SAP Order2Cash, Purchase2Pay, Record2Report) and presented at the BPM Conference
    • Developed ethical AI concepts to tackle discrimination through algorithmic biases in predictive models

    Practice Building & Client Delivery

    • Built up technical capabilities for the people analytics practice, executing proofs-of-concept and shipping solutions for internal and external clients
    • Designed and led design thinking workshops to identify AI use cases and prototype analytical solutions

    Project Management

    • Coordinated team members, reviewed deliverables, and managed project budgets
    Machine Learning Data Engineering Ethical AI Workshop Facilitation Process Mining
  • PwC Switzerland (Data & Analytics Team),
    Data Science Consultant
    CONSULTING AND AUDITS
    January 2019 - September 2021 (2 years and 8 months)
    Zürich, Switzerland
    Data Engineering & Process Mining

    • Designed, implemented, and maintained ETL pipelines and process data models for process mining across various enterprise systems
    • Created data transformation pipelines with associated data validations; identified and mapped data elements from stakeholder requirements to database entities
    • Integrated Python notebooks into Celonis cloud-based ML workbench for data processing and experimentation

    Analytics & Reporting

    • Built and maintained visual data analytics dashboards for end users and stakeholders
    • Developed process simulation capabilities for process mining service
    Process Mining ETL Pipelines Data visualization SQL Python

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Education

  • PhD in Physics
    University of Zürich
    2018
    PhD in Physics
  • M.Sc. in Physics
    Humboldt University
    2014
    M.Sc. in Physics

Certifications

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