Data Mining Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Data Mining
Kiriakos Krastillis
Last position:
Tech Lead / Architect : OTTO API Platform at OTTO
maturing their API Practices on both, a Business and Technology level. My role encompasses strategy, architecture, developer advocacy as well as hands on software engineering, enabling both technical teams and business leadership to adopt and act on API- centric principles effectively. Coincidentally, we also establish GitOps, DX and Platform Best practices with this project.
Highlights:
- Aligning executives with the initiative by clarifying strategy, replacing misconceptions and myths with facts, clarifying the value of existing assets and enabling informed decision-making
- Formulating a way forward for API Lifecycle Management at OTTO
- Driving platform progress and fostering developer engagement by hands-on engineering work towards strategic goals
API Lifecycle Management, Team Topologies, Organizational Evolution, Regulatory, Platform Advocate, Developer Platform, Communities of Practice, Terraform, Kotlin, Kafka, Kong, WSO2, Apigee, Gravitee, Backstage, AsyncAPI, OpenAPI, API Design, AWS, react, nodejs, typescript, redocly, reactive programming, CDC, golang, gingonic, GitOps, DX (developer experience), stakeholder management, roadmaps, workshops, discovery.
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
Thomas Meyer
Last position:
Executive Consultant, Coach to Management at International consulting firm
- Support to management on critical strategic topics with high investment volumes (e.g. large project > EUR 250 million).
- Support for the financing of large projects with a credit volume of EUR 100 million.
- Advice on difficult personnel issues and on filling leadership positions.
- Leadership and management in virtual project environments.
- Strategic consulting on digitalization as well as financing and equity topics.
- Impulse giver and advisor for stuck negotiations, contract design, and solution options.
Manfred Böttcher
Last position:
Interim Manager Managing Director
- Optimization of business results and expansion of sales activities
- Responsible for personnel organization
- Introduction of a document management system (DMS)
- Introduction and optimization of the ERP, CMS and CRM landscape
- Introduction of digital signatures
- Increase in revenue, reduction in costs and increase in EBIT
Benjamin Matschke
Last position:
Founder, system architect, and main developer at Institute for Artificial Study (IAS)
- Expert-supervised AI systems for scientific reasoning, model evaluation, and research workflows.
- Built the IAS Problem Solver, an orchestrated system for difficult mathematical reasoning; it achieved 84% in one submitted answer set on the Leipzig mathematics benchmark.
- Built a resumable state-machine pipeline for research-grade mathematics benchmark generation: source selection, LLM-agent-based phenomenon discovery, task synthesis, gold-answer and certificate generation and validation, probing, repair, human feedback, and quality gates, targeting tasks that are difficult, natural, verifiable, and cost-effective.
- Current work extends this into budget-aware AI research workflows for real scientific problems with expert review.
Tech stack: Python, OpenAI/OpenRouter-compatible APIs, embeddings, RAG, SQLite.
Ashwin Parthasarathy
Last position:
Freelance Data Scientist at Mercor Intelligence
- Architected and deployed end-to-end machine learning pipelines across classification and prediction datasets, ensuring robustness and reproducibility through MLOps best practices.
- Contributed directly to LLM model output accuracy improvement by designing and engineering specialised prompts grounded in end-to-end ML and SciML pipeline logic.
- Developed training data for large language models by formulating coding problems that models could not resolve and subsequently documenting the correct solutions.
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
Anshita Srivastava
Last position:
Business Intelligence Developer and Data Analyst at Deloitte Consulting
Specialize in turning complex data from diverse environments into actionable business value through compelling visual storytelling. I am an expert in generating actionable insights and presenting recommendations to business stakeholders. My technical proficiency in SQL, Python, and leading data visualization tools like Tableau and Power BI allows me to deliver a new generation of self-service tools and analytics services.
- Data Visualization & Storytelling: Created impactful data visualizations and dashboards in Tableau and Power BI, effectively communicating findings and presenting actionable recommendations to C-suite stakeholders and business leaders.
- Stakeholder Management: Built effective working relationships with key business stakeholders, data engineers, and other partners to achieve common data-driven goals and targets.
- Insights & Recommendations: Generated actionable insights from complex data analysis for funnel conversion, marketing performance, and ROI, directly influencing business performance and strategy.
- Data Collaboration & Empowerment: Worked closely with cross-functional teams to support the ongoing data needs of internal partners, helping to optimize internal data processes and workflows.
- BI & Data Expertise: Applied extensive experience in data modeling, data collection, data mining, and analysis to deliver end-to-end analytical solutions from stakeholder discovery to production.
Martin Ejeagwu
Last position:
IREB Requirements Engineer at IREB Germany
- IREB Consultant Requirements Engineer
- IREB Ambassador for the Baltics
Dieter Ratz
Last position:
Driver analyses at Genactis GmbH
- Calculation of attribute importance based on driver analyses
- Interpretation, reporting, and consulting
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
Michael Serejenkov
Last position:
Data Scientist at CompuGroup Medical Deutschland AG, docmetric GmbH
Development of AI-based and classical models for analyzing medical and patient data, including medication analyses, diagnosis analyses, forecasts, procedure analyses, dosage analyses, comorbidity analyses, prescription analyses, patient potential analyses, and referral profile analyses. Analyses in the area of Real World Evidence.
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Designing and developing models and visualizations of the results using customer dashboards
- Developing and implementing DWH adjustments
- Deriving recommendations for action
Methods, technologies: Simulation, Artificial Intelligence, Python, R, SQL, Microsoft Power BI, Amazon Web Services, Elasticsearch, PostgreSQL, Databricks, Multivariate Statistics
Bernhard Schmitz
Last position:
Agile Business Analyst and Requirements Engineer at Deutsche Post DHL
- Agile project "PEPSi annual vacation planning MVP Lite" (digitalization project).
- Definition of state transitions for the JUP Lite functionality.
- Creation of user stories for login/logout and registration.
- Quality assurance of the business-side concept.
- Preliminary analysis for the transformation from the old PersPlan to DigiPEP.
- Tools used: Signavio, MS Office (Excel, Word, PowerPoint), Jira, Confluence, Mural, Miro, Conceptboard, MS Teams, Mattermost.
Alex Odesser
Last position:
Contractor at Telefonica Germany GmbH & Co. OHG
- Data-analysis, Preparation, gathering and coordination of business requirements for retrieval of monthly- and long term (CLV – relevant) cost- and revenue-components per contract for a customer–base–grouping project (HUB–Project) for B2C-Postpaid-Controlling
- Concept and Implementation of cost- and revenue-KPIs calculation and corresponding CLV–reports (Oracle, Perl, SVN, MS SQL Server, MS Power BI, Serviceware Performance Analytics)
- Operational support of the HUB-Project – various ad-hoc reports, deployments, job-scheduling etc. (Oracle, SVN, BICSuite–Scheduler, DWSODA etc.)
- Analysis, implementation, retrieval and reporting of various physical and financial KPIs for B2P-Prepaid Business on an existing data-mart (Oracle, Perl)
Enver Bastanoglu
Last position:
Interim Manager IT Service Provider at DDE Dialog GmbH | PCS365
- Interim management of IT operations in the IT service provider business
- Implemented ISO 27001 certification including preparation of all documentation
- Implemented change processes and system migrations
- Optimized operational workflows and realigned technical systems and administrative processes
- Brought multiple large projects into production
- Launched a new business line in the gaming PC sector
Discover over 15,000 top freelancers
Statistics of experts using Data Mining
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2.6 years
Positions per freelancer
14
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Professional Services, Automotive
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
95%
Master's degree or higher
75%
Doctorate
18%
Certifications per freelancer
3
Most common languages
English, German, 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 Germany 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 Germany 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 is the work of finding patterns, relationships, and useful signals in large data sets. It supports decision-making, forecasting, customer analysis, and anomaly detection. In many teams it sits between data engineering, statistics, and applied machine learning.
Typical work
- Explore data for trends, clusters, and hidden links
- Prepare data for reporting, scoring, or prediction
- Build rules for fraud, churn, demand, or risk analysis
- Validate findings before they move into production
Tools and methods
Strong specialists use SQL, Python, R, and common analytics stacks. They work with classification, clustering, association rules, and text mining when the source data is unstructured. In older systems, the work may be described as KDD, especially in research-led teams.
When to bring in help
Companies usually look for freelance expertise when internal teams have data but no clear path to insight. That is common in reporting clean-up, customer segmentation, pricing analysis, or early-stage ML work. In Germany, remote collaboration is common, but on-site support can help when access to sensitive systems or local business teams matters.
What strong specialists deliver
A good professional does more than run one model. They define the question, check data quality, choose the right method, and explain results in plain language. They also document assumptions so analysts and product teams can reuse the work.
How to judge fit
Look for clear examples of problem framing, data preparation, and interpretation. Strong experts can explain why a pattern matters, not only how they found it. They should also know when Data Mining is the right approach and when a simpler analysis is better.
Frequently asked questions
Quick answers to the questions that come up most around Data Mining.
Data Mining is used to find patterns in data that help teams make better decisions. Common uses include customer segmentation, fraud detection, churn analysis, demand signals, and root-cause discovery. It is often part of a wider analytics or machine learning effort, but it starts with the data itself.
Data Mining focuses on discovering useful structure in data, while machine learning focuses on building models that learn from data. The two often overlap, and many projects use both. In practice, data mining is more about exploration and insight, while ML is more about prediction and automation.
Data Mining is the central step in the broader Knowledge Discovery in Databases, or KDD, process. KDD includes selecting data, cleaning it, transforming it, mining it, and interpreting the results. You may still see KDD in research, academic work, and older project documentation.
A strong Data Mining specialist usually brings SQL, Python or R, statistics, data cleaning, and business analysis. Depending on the project, text mining, feature engineering, and basic visualization are also important. If the data is messy, practical data preparation matters as much as the model choice.
A good Data Mining expert can start with a short brief if the data is available and the goal is clear. But the best results come when the expert knows the business question, the source systems, and how the findings will be used. Without that context, the work can produce interesting patterns that do not help the team.
For Data Mining work, remote collaboration is often enough if the data can be shared securely and the stakeholders are available. On-site time can help when access rules are strict or when the expert needs close contact with local business teams in Germany. Many projects use a mixed setup.
Look for clear problem framing, careful data preparation, and results that can be explained in plain language. A strong Data Mining professional can show how they tested assumptions, handled missing data, and checked whether the patterns are real. The best sign is a result that the team can use, not just a technical output.
A Data Mining engagement should usually end with a clear analysis, a documented method, and findings tied to a business question. Depending on the scope, that may include cleaned data sets, feature lists, notebooks, dashboards, or a concise recommendation. Ask for outputs your team can review and reuse.
The average hourly rate of freelancers in Germany who have used Data Mining in their recent projects is 103 €, which corresponds to a daily rate of about 824 € based on an 8-hour working day.
Of the freelancers in Germany who have used Data Mining in their recent projects, 95% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 18% hold a doctorate.
On average, freelancers in Germany who have used Data Mining in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Germany who have used Data Mining in their recent projects are English (100%), German (98%), and French (23%).
The most common industries among freelancers in Germany who have used Data Mining in their recent projects are Information Technology (92%), Professional Services (55%), and Automotive (51%).
The most common business areas among freelancers in Germany who have used Data Mining in their recent projects are Information Technology (91%), Business Intelligence (82%), and Product Development (82%).
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 
Hamburg 
Munich 
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Philipp Thomaschewski
FRATCH CEO
