Data Mining Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Data Mining
Philipp Grunert
Last position:
Data Scientist & ML Engineer at Data-Science Factory GmbH
- Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
- Implementation of automated end-to-end cloud processes
- Development of LLM and NLP models
- Creation of interactive reports
- Support for national and international large corporations as well as medium-sized companies in implementing ML projects
Christiane Neher
Last position:
Management Consultant at Christiane Neher Management Consulting
Large Insurance Company – Consultant Wiesbaden: Consulting support for the introduction of an integrated planning and performance management framework (operational, financial, customer) to enhance customer-centric transparency, decision-making quality, and steering capabilities across all lines of business within an insurance organization:
- Analysis of existing processes, reports, KPIs, and KPI calculation methodologies
- Design and introduction of new, standardized customer KPIs (gross/net), as well as key steering metrics with consistent linkage across all lines of business
- Recalculation, validation, and plausibility checks of KPIs based on existing and newly integrated data sources
- Conceptual support for the development of an integrated reporting and performance management setup
- Execution of customer insights analyses to identify patterns and anomalies within customer data clusters
Large retail company – Consultant in Karlsruhe: Advisory services for the setup and step-by-step implementation of an internationally deployable RELEX solution in the supply chain management environment:
- Advising overall and sub-project management on methodology, project setup and steering (e.g. agile approach, Jira configuration, RELEX phases, Jira Structure PPM)
- Strategic-operational consulting for the introduction of RELEX including best practices
- Support in defining overarching goals and requirements (2-year target picture)
- Guidance in scoping a relevant supply chain network segment for the project
- Development of a roadmap for iterative, incremental RELEX setup and rollout
- Assessment of project dependencies (interfaces, configurations, etc.)
- Advice on prioritized implementation of business requirements and data interfaces
- Support in test planning (data validation, system testing, UAT)
- Consulting on internationalization, change management, training, and knowledge transfer
- Stakeholder advisory and alignment activities between the client, implementation partner, and RELEX
Insurance company – Management Consultant in Munich: Analysis, consulting and support for the optimization of a large-scale business and IT transformation. Focus on strategically important programs and modernization projects in the area of Managed Services Operations and processes:
- Review of project plans and deliverables; analysis of programs and projects (e.g. cloud approach, process standardization, system integration, roadmaps)
- Identification of technical, functional and personnel risks and challenges; development of content-related measures and alternative solutions
- Proposal of quality improvements for program and modernization efforts
- Sparring partner and professional, technical, structural and organizational consulting for project and program management
Large retail group – Management Consultant & Stream Lead in Cologne: Consulting, process, project and product management for the introduction and implementation of a large strategic program in the field of advanced analytics, assortment and space management:
- Setup, test and rollout of a new space planning, automation and optimization product based on the existing cluster-based merchandising approach
- Definition and setup of new processes and transformation and change management measures for the new store-specific merchandising approach
- Collaboration with Advanced Analytics and IT (internal and external) for software implementations, automations, extensions and interfaces
- MVP approach and piloting in phases with gradual rollout (pilot with 80 stores, region with 500 stores, national level with 4000 stores)
Large retail company – Agile Coach & Change Agent in Cologne: Agile coach, OKR master and facilitator for the introduction of the OKR approach in a large strategic digitization program for retail stores:
- Coaching of the core team with topic managers and team leads
- Introduction to the OKR topic and setup of the OKR cycle
- Establishment of the OKR approach in teams and on a cross-team level
Delivery and logistics company – Management Consultant in United Kingdom: Consulting and coaching in the restructuring of the Data Analytics department:
- Analysis of current challenges
- Definition of overarching goals
- Development of a proposal for a new team structure
- Identification of required competencies, skills and responsibilities
- Advisory and alignment on communication and change management strategy
Valery Khamenya
Last position:
Sr. Data Scientist & Engineer at Virtual Minds
- Development of high-performance ad distribution via auction
- Holistic (multi-campaign & multi-channel) advertisement placement optimization
- Algorithmic optimization for NP-Hard/NP-e
- Multiple Knapsack Problem with constraints
- Online estimation of parameters in stochastic environments
Tools: Python, R, Kotlin, MILP/SAT/CP Solvers, Pytorch, Pandas, Docker
Axel Kraus
Last position:
Data Engineer & Business Analyst at Metafinanz
- Migration of existing data jobs from Cognos Data Manager to Tibco/IBI Datamigrator
- Migration data jobs parametrisation for dynamic runs
- Optimisation and cutting-back
- Regression tests
- Knowledge transfer and documentation
Alyosh Agarwal
Last position:
Business Intelligence Consultant at Large Private Equity Group
- Business intelligence and KPI specification and playbook for 35 European companies.
Sascha Jürgens
Last position:
Agile Coach & Partner at Agisolve GmbH – Pragmatic Agility® | Edler & Stiegler GmbH | CTN Consulting
- Create a product and service portfolio delivering a 360 degree approach to digital corporate sustainability covering KPI management, CSRD reporting and sustainable strategy
- Create vision and business case
- Onboard and align business partners, negotiate contracts
- Set up partner network as self-organized agile team
- Co-develop product and service portfolio
- Coordinate sales and marketing, go-to-market strategy and roadmap
Marco Bloch
Last position:
Business Analyst | IT Project Manager at Mercedes-Benz Group AG
- Coordination of implementing IT projects, subprojects, and enhancements within DevOps
- Management of IT service providers and responsibility for the quality of IT systems while meeting strategic guidelines
- Assisting in the creation of security-relevant IT documents, including security profiles, Data@Cloud, SCA, and penetration tests
- Full project management responsibility: monitoring and ensuring adherence to resources (scope, schedule, cost, and quality)
- Defining requirement profiles for external service providers and reviewing and evaluating proposals
- Supporting the setup and management of Windows and Linux servers in collaboration with Infosys, including configuring and enabling network ports
Armin Iskander
Last position:
Founder & Managing Partner at Iskander Business Partner GmbH
- Built a digital unit for a large corporation with 220,000 employees
- Interim manager for various CRM and customer service functions with up to 2,000 employees
- Digitization for cost savings as well as growth
- Numerous trainings on innovation development, product development, presentation techniques
- Speaker on the topic of digitalization
- Market analysis for the home audio-video market
- Responsible for setting up a product management department at a pay-TV company
- Project lead partner for the growth strategy in sales and marketing in Germany during a market structure shift at a leading consumer electronics manufacturer, including launching a partnership with a telecommunications company
- Overall responsibility for the subprojects 'requirements gathering' and 'functional implementation' as part of a 'new IS overall infrastructure' project (billing, CRM, etc.) for a mobile operator. Total project size > €300 million
- Sale of subsidiaries
- Project lead partner for projects in areas such as 'reducing churn in retail customers', 'sales control for business customers', 'ARPU increase for business customers', 'trade show preparation', 'messaging strategy', 'optimizing a no-frills brand', 'regionalization', 'CRM', 'segmentation', 'device launches', 'care 2 sell', etc. at telecommunications companies
Nils Boeffel
Last position:
Entrepreneur at Startups
- yourmegastore.com: Online Shopping
- cvex.de: Online CV Management system
- vianne-chocolate.de: Chocolate Franchise
- bikeguide24.com: Outdoor Routing for Bikes
Frank Thurner
Last position:
Engineering & Industry 4.0 / IoT Project Manager at Contech Software & Engineering GmbH
Engineering & Industry 4.0 / IoT projects with AI system using the Robust Design method for products & processes
Development, implementation & introduction of AI system Analyser® for Robust Design for products & processes
AI and Industry 4.0 standard product for preventive and reactive quality assurance as well as maintenance (Predictive Quality and Predictive Maintenance) based on big & smart data
Rafael Azevedo
Last position:
Head of Quality at Helsing AI
- Lead new manufacture companies (Resilience Factories) worldwide based in NATO requirements Aerospace/Part21G/Part21J
- Implement quality methodologies and tools (RCCA, NCRs, MRB, special processes qualification)
- Implement and obtain EN9100 certification as Head of Quality
- Point of contact to defense customers (MoDs) regarding quality and AQAP
- Develop quality process for qualification and certification
- Plan and execute lean manufacture to improve quality and reduce costs
- Construct quality, manufacture and supply chain organization
Michael Pförringer
Last position:
Setup Azure cloud, Java development, CI/CD pipelines at Sulzer GmbH
- Migration of a mainframe application (PL/1, zOS) to the cloud (Azure)
- Data transfer from z/OS (USS) to Azure storage (blob containers, file shares)
- Implementation of the mainframe job control in Java
- Mapping of job network dependencies in Control-M
- Performance analysis and optimization measures
- DB2 (z/OS) migration to Postgres (Azure)
- Technologies: Azure (storage, VM, VMSS, Postgres), z/OS (USS), DB2, Postgres, Packer, Terraform, Docker, Jenkins, GitHub Actions, Control-M
- Tools: Eclipse, Visual Studio Code, IntelliJ
Discover over 15,000 top freelancers
Statistics of experts using Data Mining
Aggregated from the professional profiles of matched freelancers.
Experience
27 years (Germany: 22 years)
Position duration
3.3 years (Germany: 2.6 years)
Positions per freelancer
13 (Germany: 14)
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
91% (Germany: 75%)
Doctorate
18%
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Munich using Data Mining
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it covers
Data mining turns large, messy data sets into patterns you can act on. It supports classification, clustering, anomaly detection, and prediction work across sales, product, finance, and operations. Strong specialists know how to move from raw tables to decisions that teams can use.
Typical work
- Customer segmentation and churn analysis
- Fraud, risk, and anomaly detection
- Demand forecasting and trend discovery
- Text, log, and clickstream analysis
- Feature selection for downstream models
Tools and methods
Most projects rely on SQL, Python, R, and notebooks, plus libraries for statistics and machine learning. Data mining experts also work with ETL flows, data warehouses, and BI tools when the output needs to fit existing reporting. In Munich, they often collaborate with teams that care about secure data handling and clean handoffs.
When to bring in help
Bring in freelance expertise when your team has data but no clear method to use it, or when a proof of concept needs to move into production. Companies also hire specialists for legacy data cleanup, model review, and short-term analysis spikes. They are useful when internal teams need a fast second opinion.
What strong specialists do
Good professionals ask about the business decision before they touch the data. They define features carefully, test assumptions, document the steps, and avoid weak patterns that do not hold up in production. They also explain findings in plain language so non-technical stakeholders can act on them.
Munich collaboration
Data mining work in Munich often sits close to manufacturing, automotive, insurance, retail, and mobility data. Some tasks can be done fully remote; others need on-site workshops when the data owner, compliance team, and business experts must align. Clear communication in English is usually enough, while German can help in stakeholder-heavy projects.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Data Mining.
Data Mining is used to find patterns, groups, and signals hidden in company data. It helps with tasks like segmentation, fraud detection, demand forecasting, and root-cause analysis. The value is not the model itself, but the decision it supports.
Data Mining looks for patterns that are not already defined in a dashboard or report. Business intelligence usually summarizes known metrics, while data mining explores the data to discover new relationships. Many projects use both: BI for monitoring and mining for deeper analysis.
A strong Data Mining specialist usually brings SQL, Python or R, statistics, and solid data cleaning habits. Knowledge of machine learning, feature engineering, and data visualization helps a lot. Domain understanding matters too, because patterns only help when they match the business context.
A Data Mining project needs an experienced specialist when the data is messy, the business question is unclear, or the findings will influence important decisions. Generalists can help with simple exploration, but deeper work needs someone who can test assumptions and avoid false patterns. That matters even more when the output feeds a live process.
Yes, most Data Mining work can be done remotely if the data access, security setup, and communication are clear. On-site time in Munich is useful when workshops, stakeholder interviews, or sensitive data handling need close coordination. Many teams use a mix of both.
Data Mining is often compared with statistical analysis, machine learning, and business intelligence. Statistical analysis is usually more focused on testing hypotheses, while machine learning is often aimed at prediction or automation. Data mining sits in the middle when the goal is to discover useful structure in data.
Look for someone who explains their method clearly and can show how they cleaned data, selected features, and checked results. A strong Data Mining expert documents assumptions, avoids overfitting, and separates interesting patterns from useful ones. Good answers should connect directly to the business question, not just the dataset.
Most Data Mining projects use SQL, Python, and notebooks, often together with Pandas, scikit-learn, or R-based analysis. Depending on the setup, the specialist may also work with data warehouses, ETL tools, and visualization software. The exact stack matters less than the ability to move cleanly from data access to insight.
The average hourly rate of freelancers in Munich, Germany who have used Data Mining in their recent projects is 120 €, which corresponds to a daily rate of about 959 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Data Mining in their recent projects, 100% hold at least a Bachelor's degree, 91% hold at least a Master's degree, and 18% hold a doctorate.
On average, freelancers in Munich, Germany who have used Data Mining in their recent projects have 27 years of professional experience, with a single engagement typically lasting around 3.3 years.
The most common languages among freelancers in Munich, Germany who have used Data Mining in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Munich, Germany who have used Data Mining in their recent projects are Information Technology (92%), Banking and Finance (83%), and Automotive (75%).
The most common business areas among freelancers in Munich, Germany who have used Data Mining in their recent projects are Business Intelligence (100%), Information Technology (92%), and Product Development (92%).
Main locations of FRATCH Experts, who have recently used Data Mining
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin 
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Frankfurt Request a free demo
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Philipp Thomaschewski
FRATCH CEO
