Skip to main content
🇩🇪GDPR-compliant
Find the perfect

Weka Experts in Germany

in minutes from 15,000 CVs with vetted, available specialists

Hire experts who use Weka for data preparation, classification, clustering, and model evaluation, plus machine learning workflows built around the WEKA toolkit. Get fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts in Germany, who have recently used Weka

Verified expert

Christian Schulz

View profile

Data-Scientist/AI Engineer

Ismaning
Christian Schulz

Last position:

Data-Scientist/AI Engineer at The Marcom Engine GmbH & Co. KG

  • Concept creation and implementing AI Agents in AWS Cloud
  • Continuously alignment with stakeholders
  • Collaborate with DevOps
  • Technologies: Git, CI/CD (GitHub Actions), Python/ML, Streamlit, Deno/typescript, AWS SAM, AWS Bedrock, AWS Lambda, AWS Dynamo DB, AWS S3, AWS Event Bridge etc.
Verified expert

Nooshin Omranian

View profile

Senior Computational Biologist

Berlin
Nooshin Omranian

Last position:

Senior Computational Biologist at Max-Planck-Institute for Molecular Genetics

  • Conducting research at the interface of proteomics and artificial intelligence, focusing on the application of machine learning models (e.g., neural networks, clustering algorithms, and feature extraction) to analyze complex biological datasets.
  • Developing and teaching AI-based analytical workflows for molecular and proteomic data, integrating tools such as Python (scikit-learn, TensorFlow, Pandas) for predictive modeling and data visualization.
  • Collaborating with interdisciplinary teams to explore data-driven hypotheses in molecular genetics and enhance biological interpretation through AI-assisted pattern recognition.
  • Implementing automated data processing pipelines to improve reproducibility and FAIR data management in high-throughput experiments.
Verified expert

Narges Dastanpour Hosseinabadi

View profile

Research Assistant

München
Narges Dastanpour Hosseinabadi

Last position:

Research Assistant at Munich University of Applied Sciences

  • Introduced an integrated approach for structural damage detection across concrete, steel, and glass using advanced technologies such as LiDAR and thermal imaging. Highlighted cross-material interactions to enhance diagnostics and enable predictive maintenance.

  • Developed an NLP-based medical note simplifier that transforms complex clinical instructions into plain, child-level English. Applied prompt engineering with Flan-T5 transformer models to extract patient-relevant actions and rephrase them into clear to-do items. Built dual Flask and Tornado backends with a printable web interface.

Verified expert

David Rihm

View profile

Lead Developer/Technical Architect

Frankfurt am Main
David Rihm

Last position:

Lead Developer/Technical Architect

  • Design, extension, and implementation of interfaces (REST, GraphQL, Kafka)
  • Architecture and implementation of cloud-native microservices on Azure Kubernetes Service
  • Domain-Driven Design, Event-Driven Architecture with Kafka
  • Development of an extensive query engine for REST endpoints based on business objects
  • Design and implementation of master data classification using machine learning algorithms (Weka library, Spotify Voyager)
  • Analysis and evaluation of complex load test scenarios and derivation of optimizations
  • Increase in system resilience (Kafka error handling, circuit breaker, sidecar service mesh in Go)
  • Integration with CIAM systems (asynchronous real-time synchronization and definition of data ownership, authorization, authentication)
  • Connection to Azure ServiceBus (AMQP protocol)
  • Design and implementation of complex authorization concepts (including delegated administration)
  • Documentation of the results (Confluence, architecture descriptions, architecture decisions)
Verified expert

Matti Lange

View profile

FullStack Developer

Hamburg
Matti Lange

Last position:

FullStack Developer at Ing DiBa GmbH

  • Developed and extended Fiori UI5/WebApps for areas such as general ledger, asset accounting, and others.
  • Implemented backend logic and OData services for a new S/4 HANA system
  • Analyzed the current state of SAP GUI transactions and derived suitable standard and custom developments
  • Designed technical concepts and implemented custom UI5 apps in the Fiori Launchpad
  • Automated OPA tests, extended and adapted standard Fiori apps
  • Documented and created developer manuals in the wiki
  • Conducted code reviews, approved and delivered software units via GitLab and SAP transports
Verified expert

Hans Hupp

View profile

Construction Management

Enkenbach-Alsenborn
Hans Hupp

Last position:

Construction Management at Rückbau Brandschaden

  • On-site construction management
  • Subcontractor supervision
  • Documentation
  • Site diary

Discover over 15,000 top freelancers

Statistics of experts using Weka

Aggregated from the professional profiles of matched freelancers.

Experience

26 years

Position duration

2.7 years

Positions per freelancer

21

Top business areas

Information Technology, Product Development, Quality Assurance

Top industries

Information Technology, Automotive, Education

Bachelor's degree or higher

67%

Master's degree or higher

50%

Doctorate

17%

Certifications per freelancer

0

Most common languages

German, English, Spanish

Speak two or more languages

100%

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 2 4 6 8
<€800 €960-​1120 €1440+

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 Weka

Rates are based on recent contracts and do not include FRATCH margin.

800
600
400
200
Rate comparison chart
Daily rate avg. 759 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

800
600
400
200
Rate comparison chart
Median rate 712 €

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 Weka is

Weka is a machine learning suite for data analysis, model building, and experimentation. It is widely known as WEKA, short for Waikato Environment for Knowledge Analysis. Teams use it to explore datasets, test algorithms, and turn raw data into clear decisions.

Typical work

  • Data cleaning and feature preparation
  • Training and comparing classification or clustering models
  • Evaluating results with clear metrics and validation steps
  • Building repeatable analysis workflows for research or business use

Weka fits well when a team needs fast experimentation without heavy engineering overhead. It is common in analytics, academic work, prototyping, and smaller production pipelines.

Tools and ecosystem

Strong Weka professionals work with the core GUI, command-line use, and Java-based extensions. They often connect Weka with CSV, ARFF, databases, and scripting around experiments. They also know when the standard package is enough and when a custom filter or classifier is needed.

When to bring in help

Companies usually bring in freelance Weka expertise when an analysis must be cleaned up, reviewed, or delivered quickly. That can mean fixing unstable models, documenting a study, or rebuilding an old WEKA workflow. In Germany, this often works well both remote and on-site, especially when teams want clear handover notes in English or German.

What strong specialists do

  • Explain algorithm choice in plain terms
  • Avoid overfitting and weak validation
  • Keep data handling reproducible
  • Make results easy for non-specialists to review

A good specialist does more than run a tool. They understand the data shape, the evaluation method, and the business question behind the analysis.

Best fit projects

Weka is a good fit for proof-of-concept analytics, research support, benchmark comparisons, and legacy knowledge-discovery systems. It is also useful when a team needs to compare many models quickly before moving work into a larger stack. For companies in Germany, it can be a practical choice for short expert assignments with defined outputs.

Published on:
FRATCH GPT

FRATCH GPT delivers freelancer proposals with clear reasoning and transparent pricing in minutes, helping your hiring department quickly and compliantly find the best talent.

Give it a try:

Try FRATCH GPT

Frequently asked questions

Curious about Weka? Here are the answers that come up again and again.

Weka is used for machine learning tasks such as classification, clustering, feature selection, and model testing. It helps teams explore data, compare algorithms, and build repeatable analysis workflows. Many companies use it for research, prototyping, or as a lightweight analytics tool.

Yes. Weka and WEKA refer to the same machine learning suite, and many searchers also use the full name Waikato Environment for Knowledge Analysis. A strong specialist should recognize all three references and know how they map to the same toolset.

Weka is faster to start with for visual exploration and standard algorithm comparison. Python stacks like scikit-learn or pandas offer more flexibility for custom pipelines and larger application codebases. Companies often choose Weka when the work is about analysis, evaluation, or a focused prototype rather than full software delivery.

A strong Weka specialist usually understands data cleaning, statistics, validation methods, and basic machine learning theory. It also helps if they know Java, ARFF files, databases, and how to explain results to non-technical stakeholders. Those skills make the work easier to reuse after the project ends.

Weka work can start small, but the right level of expertise depends on the data and the risk of the decision. Simple model comparisons may need only focused tool knowledge, while sensitive or messy datasets need deeper experience with validation and feature handling. If the result will guide a business decision, quality matters more than speed alone.

Most Weka tasks can be done remotely because the work centers on files, experiments, and review sessions. On-site collaboration can help when the data is sensitive, the stakeholders want live workshops, or the project needs close alignment with internal analysts. In Germany, both setups are common.

Look for a Weka expert who can explain the data, the chosen algorithm, and the validation method without hiding behind tool output. Good signs include clean experiment notes, reproducible steps, and a clear reason for each model choice. Ask for examples of how they handled missing data, class imbalance, or inconsistent labels.

Weka is a good fit for data mining studies, proof-of-concept models, comparison reports, and legacy workflows that already depend on the tool. It is also useful when a team needs quick insight before moving to a larger analytics stack. If the project is short and clearly defined, Weka can be a very practical choice.

The average hourly rate of freelancers in Germany who have used Weka in their recent projects is 95 €, which corresponds to a daily rate of about 759 € based on an 8-hour working day.

Of the freelancers in Germany who have used Weka in their recent projects, 67% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 17% hold a doctorate.

On average, freelancers in Germany who have used Weka in their recent projects have 26 years of professional experience, with a single engagement typically lasting around 2.7 years.

The most common languages among freelancers in Germany who have used Weka in their recent projects are German (100%), English (100%), and Spanish (29%).

The most common industries among freelancers in Germany who have used Weka in their recent projects are Information Technology (71%), Automotive (57%), and Education (57%).

The most common business areas among freelancers in Germany who have used Weka in their recent projects are Information Technology (86%), Product Development (86%), and Quality Assurance (71%).

Main locations of FRATCH Experts, who have recently used Weka

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 Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

Request a free demo

Get in touch with the FRATCH team and we will get back to you within 4 hours.

Contact form

Would you rather directly get in touch?
We always have the time for a call or email!

FRATCH CEO avatar

Philipp Thomaschewski

FRATCH CEO

LinkedInFRATCH