Data Mining Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Data Mining
Eric Bouendeu
Last position:
Quality Assurance Lead (QSV) at Federal Employment Agency
Supported the International Web Presence project of the Federal Employment Agency (IntWeb) in quality management, taking on responsibility for the quality of processes and project deliverables while adhering to BA standards. The project's main goals are to give professionals abroad a quick overview of their chances to move to Germany and to enable them to take the necessary steps in a consistently digital way.
Set the fundamental guidelines using the QA handbook
Summarized test results in QA reports for PLA
Analyzed project outcomes for improvement opportunities
Quality management of requirements analysis (especially processes, methods and tools)
Ensured compliance with SERA guidelines
Created a cross-project test concept
Agreed on sprint completion reports
Conducted formal reviews of deliverables according to guidelines and/or project plan
Acted as contact person for internal audit and external audits by auditors or the Federal Audit Office (BRH)
Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes
Jörn Bottenhorn
Last position:
Project Management and PMO at TANKKARTEN | PAYMENT
- Close collaboration with development teams to ensure alignment with project goals
- Assessment of in-scope assets, requirements definition and support of the public tender process up to vendor selection
- Creation and maintenance of UML sequence diagrams to document system interactions
- Intensive use of Agile/Scrum methodology and the Spotify model
- Development and implementation of cutover and rehearsal plans together with the application managers
Olusina Fabunmi
Last position:
Cyber Job Simulation at Deloitte Australia
- Completed a job simulation involving reading web activity logs.
- Supported a client in a cybersecurity breach.
- Answered questions to identify suspicious user activity.
Ralitsa Popova
Last position:
Process, Project and Requirements Manager, Client Project @ RUBINLAKE at 1&1 Versatel GmbH
- Introduction of a new workflow tool for fibre connectivity & broadband delivery
- Requirements design, estimation and prioritization
- Creation of rollout and project plans
- Managing the development team using Scrum
- Design and project management of the API interface to existing tools
- Process modeling for the new order dispatching teams (FCD & BD)
- Designing processes inside and outside the team
- Requirements design and implementation of necessary tools
- Creation and calculation of production KPIs
Michael Weber
Last position:
Business Analyst, Product Owner, Deputy Chairman of the Advisory Board at Federal Ministry, large German city
- We designed a networking platform to improve cooperation and information in the district (Project 71).
- We carried out a tender, defined necessary documents and processes.
- We aimed to ensure that the commissioned service provider carries out quality assurance of the project team's results before implementation.
- We selected a provider.
Ritika Solanki
Last position:
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Global marketing analytics for Hitachi Energy as part of a global data modernization initiative aiming to enhance data retention, historical data availability and provide Eloqua's 2-year retention for remote interaction reporting and analytics.
Analyzed Eloqua's default retention policy and identified risk of data loss for records older than two years.
Designed and implemented historical data preservation strategy by creating transformed tables in the target data platform to archive older data while ensuring data quality dashboards.
Collaborated with the Power BI team to re-point dashboards from raw Eloqua imports to the newly created archival layer.
Leveraged Jira to track and manage data engineering tasks, bugs, and feature requests across Agile sprints; coordinated backlog prioritization and task assignment to align data pipeline development with business needs.
Power BI dashboard optimization:
Worked closely with business stakeholders to assess and understand reporting needs for reverse customer data.
Designed and implemented incremental refresh in Power BI to ensure daily updates without full data reloads.
Collaborated with Azure data engineers to optimize data processing and publication pipelines.
Stakeholder communication & data modeling:
Acted as liaison between Group Data Office and Technology Office to align data modelling standards.
Gathered requirements from data engineering team and participated in weekly status meetings to provide implementation updates and resolve blockers across teams in Germany, Poland, and India.
Documentation & quality assurance:
Prepared end-to-end technical design documentation, data flow diagrams, and Power BI audit guides for future reference.
Participated in UAT sessions with business users to validate data outputs and report accuracy.
Daniel Schaaf
Last position:
Business and IT consulting at Business and IT Consulting (freelance)
- Process consulting
- Project management
- Creating and aligning functional and technical specifications
- Portfolio management
- Stakeholder management
- Data cleansing
- Test, quality, and requirements management
- Rollout management
- Financial planning
- Marketing and sales consulting
- IT architecture and strategy consulting
- Trainer for IT, project management, and eBusiness
Discover over 15,000 top freelancers
Statistics of experts using Data Mining
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 22 years)
Position duration
2.7 years (Germany: 2.6 years)
Positions per freelancer
17 (Germany: 14)
Top business areas
Information Technology, Business Intelligence, Marketing
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Project Management, Business Intelligence, Information Technology
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
57% (Germany: 75%)
Certifications per freelancer
3
Most common languages
German, English, Bulgarian
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 Frankfurt 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 Frankfurt 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 finds patterns, links, and anomalies hidden in large data sets. Companies use it to support customer insight, demand analysis, fraud detection, lead scoring, churn analysis, and knowledge discovery in databases, often called KDD.
Typical work
- Explore and clean raw data before analysis
- Build clustering, classification, and association models
- Prepare feature sets for reporting and prediction
- Explain findings in clear business language
Tooling and stack
Strong specialists usually work across SQL, Python, R, and common analytics libraries. They also handle data warehouses, notebooks, ETL flows, and BI tools so the mined results can move into dashboards, models, or decision rules.
When to bring help
Companies bring in freelance expertise when data is spread across systems, a use case needs faster delivery, or internal teams need support for a specific method. In Frankfurt, this often fits finance, logistics, consulting, and other data-heavy work where precise analysis matters.
What strong experts do
Good professionals do more than run algorithms. They define the question, choose usable data, test assumptions, and check whether a pattern is meaningful or just noise. They also document the logic so teams can reuse the result later.
What to look for
- Clear understanding of data quality and feature design
- Experience with structured and semi-structured data
- Practical knowledge of clustering, classification, and anomaly detection
- Strong communication with technical and business teams
Frequently asked questions
Key details about Data Mining, drawn from the questions we get asked most.
Data mining is used to find patterns in large data sets and turn them into decisions. Companies use it for customer segmentation, churn analysis, fraud signals, product trends, and process improvement. It is often the step between raw data and a model, report, or rule set.
Data mining focuses on discovering useful patterns, relationships, and anomalies in data. Machine learning is more centered on building models that predict or classify new cases. In practice, the two overlap, and many projects use both.
Data mining is often part of the broader process called knowledge discovery in databases, or KDD. KDD includes data selection, cleaning, transformation, mining, and interpretation. So the terms are related, but not fully identical.
A strong Data Mining freelancer should know SQL, Python, statistics, and data cleaning. Experience with clustering, classification, anomaly detection, and feature design helps a lot. They should also be able to explain results in plain business terms.
A data mining specialist needs a clear question, access to relevant data, and a definition of what success looks like. The best results come when the business goal is specific, such as identifying churn risk or finding duplicate records. Without that, the work can drift into generic analysis.
Yes, most Data Mining work can be done remotely if data access, security, and communication are in place. Frankfurt teams often collaborate with specialists online for analysis, model review, and documentation. On-site sessions are mainly useful for sensitive data or workshops with stakeholders.
Data Mining projects often rely on SQL, Python, R, and notebook-based workflows. Many teams also use ETL tools, data warehouses, and BI systems to move findings into daily reporting. The exact stack depends on whether the goal is exploration, scoring, or operational reporting.
Look for clear thinking, not just tool knowledge. A good data mining expert can explain why a pattern matters, how they checked data quality, and what the limits of the result are. Reusable code, clean documentation, and realistic assumptions are strong signs of quality.
The average hourly rate of freelancers in Frankfurt, Germany who have used Data Mining in their recent projects is 99 €, which corresponds to a daily rate of about 790 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Data Mining in their recent projects, 100% hold at least a Bachelor's degree and 57% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used Data Mining in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Frankfurt, Germany who have used Data Mining in their recent projects are German (100%), English (100%), and Bulgarian (14%).
The most common industries among freelancers in Frankfurt, Germany who have used Data Mining in their recent projects are Information Technology (100%), Banking and Finance (57%), and Professional Services (57%).
The most common business areas among freelancers in Frankfurt, Germany who have used Data Mining in their recent projects are Information Technology (100%), Business Intelligence (86%), and Marketing (71%).
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
