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Anaconda Experts in Germany

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Hire experts who work with Anaconda, conda environments, Python package management, and reproducible data science stacks. Get fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts in Germany, who have recently used Anaconda

Verified expert

William Nguyen

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Senior/Lead Business Analyst & AI Workflow Consultant | Requirements Engineering | BI | Workflow Automation | Claude Code

Berlin
William Nguyen

Last position:

Senior Business Analyst/Requirements Engineer at Finanzen.Net/Finanzen.Zero

  • Analysis of complex business processes and end-to-end user journeys in digital product and platform environments
  • Gathering, structuring, and prioritizing business and technical requirements (Functional / Non-Functional Requirements)
  • Translating business goals into actionable requirements, user stories, and acceptance criteria
  • Conducting stakeholder interviews, workshops, and reviews with business teams, IT, UX, and management
  • Creating and maintaining requirement artifacts (BRD, FRD, user stories, process models, decision papers)
  • Ensuring consistency between business needs, technical implementation, and product vision
  • Close collaboration with development teams to clarify business questions during implementation
  • Support with impact analyses (A/B tests), change requests, and scope management
  • Quality assurance of implemented requirements including acceptance criteria and business testing
  • Advising on the further development of product strategy and roadmap structure
  • Prioritizing backlog items based on business value
  • Defining and sharpening product goals, KPIs, MVP definition, and other success metrics
  • Evaluating new features, tools, and initiatives from a user and business perspective
  • Facilitating decision-making between business, product, and technology
  • Supporting go-to-market considerations and product positioning
  • Sparring partner for product and stakeholder decisions at management level
  • Dashboard creation, data modeling, BI report administration, and data analysis in Power BI
Verified expert

Markus Glagla

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Full Stack Developer

Frechen
Markus Glagla

Last position:

Full Stack Developer at REWE Digital

  • A warehouse valuation system was reimplemented using Java, Spring Boot, and Camunda. The backend solution focuses on integration and batch calculations, the frontend on managing formulas and reviewing results.
  • Java 21
  • Spring Boot
  • JPA
  • Maven
  • REST
  • Kafka
  • PostgreSQL
  • DB2
  • Liquibase
  • Google Cloud Storage
  • Keycloak
  • GitLab CI/CD
  • Helm
  • Terragrunt
  • SonarQube
  • Angular
  • IntelliJ
  • JUnit 5
  • Mockito
  • Open API
Verified expert

Lukas Sontheimer

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Freelance AI Consultant

Hannover
Lukas Sontheimer

Last position:

Freelance AI Consultant at Sontheimer Consulting

  • Helped 10+ SMEs to take their first steps in AI
  • Held over 30 workshops on AI strategy and AI training
  • Conducted audits through the identification and evaluation of AI uses
  • Developed dedicated AI strategies and roadmaps for transformation
  • Implemented AI workflows, AI agents and dedicated AI solutions
  • Developed AI product roadmaps
  • Delivered interactive trainings on prompting, EU AI Act, benefits and challenges of AI
Verified expert

Muntaha Shams

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AI Engineer (Freelance)

Erlangen
Muntaha Shams

Last position:

AI Engineer (Freelance) at Upwork

  • Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
  • Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
  • Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
  • Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
  • Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
  • Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.
Verified expert

Uzair Arshed

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Data Scientist

Aachen
Uzair Arshed

Last position:

Data Scientist at Taurva Solutions

  • Collect, clean, and preprocess data.
  • Perform exploratory data analysis to find patterns and insights.
  • Build and evaluate statistical models and machine learning algorithms.
  • Visualize data and results using tools like Matplotlib, Seaborn, Power BI, or Tableau.
  • Work with cross-functional teams to define data needs and KPIs.
  • Develop models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Follow data privacy and security regulations.
Verified expert

Mehmet Fatih Sönmez

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Online Simulation Based Digital Twin Software Developer

Berlin
Mehmet Fatih Sönmez

Last position:

Online Simulation Based Digital Twin Software Developer at BAM - Federal Institute for Materials Research and Testing

  • Contributed to development of an online simulation-based digital twin of bridge infrastructure project.
  • Created packages implementing computational and statistical modules for the digital twin.
  • Modeled the structure using FEniCSX within a Python environment.
  • Integrated real sensor data with the virtual model via APIs.
  • Used inference models to predict the future state of the bridge.
Verified expert

Shi Jingjing

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Product Manager

Munich
Shi Jingjing

Last position:

Product Manager at China Shipbuilding NDRI Engineering Co.,Ltd

  • Led UI/UX and engineering team using Agile to develop 'Crane Intelligence Safety Platform', communicated with customers from the factories to incorporate feedback into applications.
  • Launched 'Crane Intelligence Safety Platform' across more than 10 user scenarios in various Chinese shipbuilding factories.
  • Prioritized product roadmap with developers, aligning the product vision with the user needs and business strategy. Iterated the product to combine user needs and achieved 25 more implementations than forecast.
  • Collaborated with the algorithm team to design a model deployment process compliant with security standards.
  • Established a fault detection predictive model capable of analysing collected device data and automating maintenance strategy decisions.
  • Developed the automated software inspection and operation mechanism to increase the project maintenance efficiency by 70%.
  • Generated the software testing group in our department and realized the automatic software test for every product to be launched, significantly reduced 60% of post-launch revisions and improved user experience.
  • Evangelized products in road shows, exhibitions, and events with industry cooperators.
Verified expert

Nandini Venkatesh

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Senior Software Developer

Bremen
Nandini Venkatesh

Last position:

Senior Software Developer at Capgemini Technology Services Limited

  • Designed and implemented secure backend services using Java, Spring Boot, and Hibernate, following microservice principles and RESTful standards.
  • Implemented GraphQL-driven REST APIs to streamline backend services in a Gradle and Maven environment.
  • Implemented OAuth2-based authentication and authorization mechanisms to secure RESTful APIs in Spring Boot applications.
Verified expert

Ravindra Garde

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Postdoctoral Researcher

Braunschweig
Ravindra Garde

Last position:

Postdoctoral Researcher at Helmholtz Institute for Infection Research

  • Developed an agent based model to elucidate the dose-uptake discrepancy of antibiotics in bacteria
  • Fostered collaboration with microbiologists to develop a data driven framework for antibiotic dosing
Verified expert

Knud Werner

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Lead Programmer, Architect and Deputy Product Owner

Leipzig
Knud Werner

Last position:

Lead Programmer, Architect and Deputy Product Owner at Bundesagentur für Arbeit

  • Lead programmer, architect and deputy product owner
  • Completed transition from zPDV to STEP
  • Ensured quality of C++ and Perl sources through automated and manual checks
  • Supported resolution of incidents and errors in testing
  • Implemented batch for supplementary assignment of payment run numbers
  • Implemented batch for distribution of SGB 2 information to the central payment unit
  • Supported replacement of Solaris with Linux
  • Upgraded gcc from 7.4 to 9.3
  • Programmatically generated Makefiles from Borland projects for builds
  • Extended funding data with new attribute “internship travel cost indicator”
  • Programmatically generated XSD and WSDL files from IDL definitions
  • Represented the product owner when needed
  • Implemented batch for one-time payment processing
  • Developed generator for Liquibase files
  • Implemented and maintained regular anonymization of production data
  • Supported migration from SLES 12 to SLES 15
  • Supported introduction of mutual TLS
  • Implemented batch for sending deletion impulses to EDA BE
  • Organized script directory structure
  • Investigated potential introduction of String-Latin and implemented minimal solution
  • Remediated security findings identified by CheckMarx
  • Supported PAP recalculations and general change notices
  • Converted ERP interfaces from SOAP to REST
  • Planned technical and business topics such as register modernization, cash register security, training costs, four-eyes principle
Verified expert

Reinhard Duy

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Continuing Education Data Analytics, Artificial Intelligence, Deep Learning, Machine Learning

Dresden
Reinhard Duy

Last position:

Continuing Education Data Analytics, Artificial Intelligence, Deep Learning, Machine Learning at Continuing Education

  • Continuing education in Data Analytics, Artificial Intelligence, Deep Learning and Machine Learning
  • Operating system: Windows
  • Development environments: JetBrains PyCharm, Jupyter Notebook, Spyder
  • Programming languages: Python 3.10
  • Other technologies: Anaconda, Keras 2.10, NumPy, OpenCV, Pandas, Scikit-learn, Seaborn, TensorFlow 2.10, PyTorch
Verified expert

Taher Solimany

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DevOps Engineer

Hamburg
Taher Solimany

Last position:

DevOps Engineer at Confidential

  • Collaborating with developers, security, and operations teams to align requirements
  • Supporting product owners and development teams in deploying logging and monitoring solutions based on the Elastic Stack
  • Developing and standardizing log schemas as well as defining practical standards for observability
  • Designing and further developing logging architectures for complex, distributed multi-tenant environments
  • Connecting application and infrastructure logs as well as security tools and metrics
  • Optimizing data flows and modeling for analysis and reporting purposes
  • Building automated infrastructures using Terraform/Terragrunt and Ansible
  • Maintaining and evolving CI/CD pipelines in GitLab as well as automated development environments in Hetzner Robot
  • Operating and automating Proxmox clusters including Ceph storage
  • Setting up and running Kubernetes (k3s) clusters on Fedora CoreOS including core services like Vault, OpenLDAP, and HAProxy
  • Implementing security-critical infrastructures according to BSI basic protection and securing existing systems
  • Supporting the operation of solutions in cloud environments (e.g., AWS)
  • Working in agile teams following Scrum and Kanban
  • Technologies/Tools: Elastic Stack (Elasticsearch, Logstash, Beats/Elastic Agent, Kibana), Terraform, Terragrunt, Ansible, GitLab CI/CD, GitOps, Proxmox, Proxmox Ceph, Kubernetes (k3s), OpenShift, Helm, Kustomize, Vault, OpenLDAP, HAProxy, Hetzner Robot systems, AWS, Prometheus, Grafana, Syslog Linux/Windows, Docker, NGINX, Apache Security & Compliance (BSI basic protection, SIEM/SOC)
Verified expert

Janusz Mazurek

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IT Senior Software Engineer

Munich
Janusz Mazurek

Last position:

IoT Edge Computing / Self-Driving-Cars at Automotive consulting company

  • Platform: Python ecosystem, RHEL 8, K10, AWS IoT Core, AWS Lambda, MLOps
  • Software: Java JEE/cloud, IntelliJ IDEA, AWS IoT Core, AWS Edge and Lambda, AWS SageMaker SDK, Docker Compose, Kubernetes, OpenShift 4, Tekton, Flux, Helm charts, JSON/XML technology, Nginx, Apache Spark, OpenAI (GPT Plus, DALL-E 3, Whisper), GAN, GitHub Copilot, AI/machine and deep learning, Jupyter notebooks, TensorFlow 2, Colab, Keras API, Prometheus, Grafana, Conda, Python 3.9, PySci stack (NumPy, pandas, Scikit-learn, matplotlib)
  • Responsible for webinar:
  • IoT edge computing: architecture, components, resources, management
  • IoT edge computing with MicroK8s, designing and creating flows/diagrams for AWS, three-step model for IoT ecosystem
  • IoT processes, connectivity, data transfer and deployment, security
  • Optimization of edge computing for IoT networks and services (AWS SQS queue, SNS notifications, events, analytics, buttons, device management/defender, Things Graph)
  • Machine/deep learning frameworks (models, training, pipeline optimization, deployment in the cloud/at the edge (OpenShift), monitoring workloads with Prometheus and Grafana)
  • Performance optimization for low latency/resilience using adaptive ML/DL/RL models for customer IoT data
  • Analysis of large sensor data sets with Apache Spark, Kafka clusters
  • Kasten K10 data management platform on Kubernetes multi-cluster with Helm chart, deployment, backup/disaster recovery (RTO/RPO), data lifecycle and security management
  • Implementation of multilayer artificial neural network (ANN) with TensorFlow 2 and Colab for regression and classification; data analysis and provisioning for applications; development of models for testing and training, deployment of models
  • Automation of business streamline processes with AI (Azure OpenAI, Discord bots/Zapier apps AI assistants (IntelliJ, GitHub Copilot))
Verified expert

Andrzej Manna

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External Lecturer in Applied Computer Science

Petersberg
Andrzej Manna

Last position:

External Lecturer in Applied Computer Science at Fulda University of Applied Sciences

  • Neural networks
  • Data structures and software algorithms

Discover over 15,000 top freelancers

Statistics of experts using Anaconda

Aggregated from the professional profiles of matched freelancers.

Experience

16 years

Position duration

1.5 years

Positions per freelancer

9

Top business areas

Information Technology, Product Development, Quality Assurance

Top industries

Information Technology, Professional Services, Banking and Finance

Certification focus areas

Business Intelligence, Information Technology, Research and Development

Bachelor's degree or higher

100%

Master's degree or higher

93%

Doctorate

14%

Certifications per freelancer

2

Most common languages

German, English, French

Speak two or more languages

93%

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 2 4 6 8
<€400 €400-​800 €800-​1200 €1200-​1600 €1600+

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 Anaconda

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

800
600
400
200
Rate comparison chart
Daily rate avg. 652 €

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 708 €

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

Python data stacks

Anaconda is a distribution for Python and R work that simplifies package management and environment setup. Companies use it to build reproducible data science, analytics, and machine learning workflows. It is common in teams that need controlled libraries and consistent local setups.

What professionals deliver

  • conda environments and dependency files
  • notebook-based analysis and prototyping
  • data science toolchain setup
  • internal training and handover

Strong specialists make projects easier to repeat and easier to audit. They know how to keep environments clean, avoid package conflicts, and align local work with shared team standards.

Typical project needs

Businesses bring in freelance expertise when a data stack is unstable, slow to set up, or hard to share across teams. Anaconda professionals are also useful when moving from ad hoc installs to managed environments, or when a project needs better support for notebooks and scientific libraries.

Ecosystem and tools

Anaconda often appears with conda, Jupyter Notebook, JupyterLab, NumPy, pandas, SciPy, scikit-learn, and Miniconda. Depending on the project, professionals may also work with version pinning, private channels, Docker, and workflow tools that keep analysis environments reproducible.

Germany delivery

In Germany, companies often want specialists who can work with English-language technical material and collaborate cleanly with local product, analytics, or research teams. Remote delivery is common for environment setup, debugging, and documentation, while on-site sessions help when teams need workshops or migration support.

What good experts do

A strong Anaconda professional writes clear environment specs, checks compatibility before changes, and explains trade-offs between convenience and control. They focus on stable delivery, not just getting one machine to run. That matters when notebooks, pipelines, and shared data work must stay consistent over time.

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Frequently asked questions

Before you brief your next project: the most common questions about Anaconda.

Anaconda is used to set up Python and R environments for data work, scientific computing, and machine learning. Companies bring it in when they need repeatable installs, shared dependencies, and a cleaner path from analysis to team use.

Anaconda includes a broad data-science distribution, while Miniconda starts smaller and lets teams install only what they need. Many companies choose Anaconda for convenience and Miniconda for tighter control over environment size and package selection.

Hire a Anaconda specialist when package conflicts block progress, notebooks are hard to reproduce, or teams need help standardizing environments. It is also a good fit during platform cleanup, research handover, or when a data stack needs clearer ownership.

A strong Anaconda professional usually knows Python, conda, Jupyter, package versioning, and dependency troubleshooting. For broader data projects, knowledge of pandas, NumPy, SciPy, and scikit-learn is often important too.

That depends on the scope, but Anaconda work can be simple or quite technical. Basic setup support needs one skill set, while shared environments, private channels, and migration planning need someone who has handled real team workflows before.

Yes, most Anaconda tasks can be done remotely, especially environment setup, debugging, and documentation. On-site time in Germany is mainly useful for workshops, stakeholder alignment, or helping several specialists standardize their tools together.

Look for clear environment files, practical troubleshooting, and a habit of explaining why a package choice was made. A strong Anaconda expert leaves behind setups that other specialists can reuse without guesswork.

Yes, Anaconda is still relevant when the hard part is not Python itself but managing data libraries, binary dependencies, and reproducible environments. It can fit well alongside existing tooling when teams need more structure around notebooks and scientific packages.

The average hourly rate of freelancers in Germany who have used Anaconda in their recent projects is 82 €, which corresponds to a daily rate of about 652 € based on an 8-hour working day.

Of the freelancers in Germany who have used Anaconda in their recent projects, 100% hold at least a Bachelor's degree, 93% hold at least a Master's degree, and 14% hold a doctorate.

On average, freelancers in Germany who have used Anaconda in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.5 years.

The most common languages among freelancers in Germany who have used Anaconda in their recent projects are German (100%), English (93%), and French (27%).

The most common industries among freelancers in Germany who have used Anaconda in their recent projects are Information Technology (80%), Professional Services (47%), and Banking and Finance (40%).

The most common business areas among freelancers in Germany who have used Anaconda in their recent projects are Information Technology (93%), Product Development (80%), and Quality Assurance (73%).

Main locations of FRATCH Experts, who have recently used Anaconda

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

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Philipp Thomaschewski

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