Matplotlib Experts in Berlin
for clear, reliable data visuals, matched in minutes with vetted freelancersHire experts who turn Python data into publication-ready charts, analytical dashboards and visual reports with Matplotlib, NumPy and pandas. FRATCH connects you with precise matches among vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Matplotlib
Uditha W.
Last position:
Data Science Tutor at University of Europe for Applied Sciences
- Taught Python, Pandas, data analysis, visualization and Power BI to 250+ students.
- Guided practical projects from data preparation and exploratory analysis through visualization and dashboard creation.
- Explained complex analytical concepts clearly to audiences with different levels of technical experience.
Wolfram K.
Last position:
AI / Machine Learning Engineer (Projects & Applied AI) at UNIVERSITÉ PARIS 1 PANTHEON-SORBONNE & LIORA
- Designed and implemented a hybrid recommendation system (content-based + collaborative filtering)
- Built end-to-end ML pipelines including data processing, feature engineering, model training, and evaluation
- Developed RAG-based LLM systems using LangChain and vector databases for semantic search and knowledge retrieval
- Established MLOps workflows with MLflow for experiment tracking, versioning, and deployment readiness
- Implemented deep learning models (computer vision & classification) using PyTorch and TensorFlow
Kornél L.
Last position:
Computer Vision Algorithm Engineer (contract) at Sony R&D Center, Stuttgart Laboratory 1
- Conducted research and development in the field of large-scale 3D reconstruction
Santina W.
Last position:
Business Analyst & BI Strategist - Comparison Portal at dataweys (self-employed)
- Assessment of the existing reporting landscape and strategic bundling of needs
- Migration and consolidation of reports to Metabase, connected to ClickHouse as the data foundation
- Building and maintaining data pipelines
Stack: Metabase · ClickHouse · Appsmith · Airflow
Tobias J.
Last position:
Design of an AI-Agent-Based ERP System
- Design of an LLM-based agent system to control the ERP software
- Development of agent workflows with LangGraph and PydanticAI
- Planning interfaces between business logic and language models
- Planning agent orchestration
- Prototype development and demonstration
Tools: Python, Pydantic, React, LangChain, LangGraph, Linux
Maurizio F.
Last position:
Python Software Developer at Schönhofer Sales and Engineering GmbH
- Implemented a command line interface (CLI) for integration of REST APIs of various microservices for end users
- Centralized and simplified interaction with services through the CLI
- Implemented a REST microservice for custom data schemas based on an API-first approach
- Developed event-driven control with RabbitMQ to connect to other services
- Deployed services using Docker and Kubernetes and extended the CLI
- Managed complexity and data volume handling through the microservice
Tushar R.
Last position:
Research Assistant/Master Thesis at Otto-von-Guericke Universität Magdeburg
- Performed qualitative and quantitative analysis of extracted findings, categorizing themes, evaluating methodologies, and assessing study quality and reliability.
- Produced research reports and evidence summaries communicating key trends, gaps, and opportunities to academic advisors or cross-functional teams.
- Presented findings through well-structured visualizations, tables, and narrative summaries to support decision-making and guide future research directions.
Phil H.
Last position:
Data Analyst at Applied Analytics Projects
- Designed and implemented end-to-end data workflows (BigQuery + PowerBI), transforming raw datasets into executive dashboards used for KPI monitoring
- Queried and transformed large-scale datasets using Google BigQuery to support analytical use cases and insight generation
Deependra P.
Last position:
Data Specialist at Cloud Factory
- As a Data Specialist, I leveraged analytical expertise to transform raw data into actionable insights, driving strategic decision-making and operational improvements. My role encompassed data interpretation, reporting automation, and cross-functional collaboration, utilizing advanced tools such as Microsoft Excel, Power BI, and Python for comprehensive data analysis.
- Implemented Python scripts to validate and reconcile large datasets, reducing manual errors and improving data reliability.
- Utilized Python (Pandas, NumPy, Matplotlib/Seaborn) to automate data cleaning, analysis, and visualization, improving efficiency and accuracy in reporting.
- Developed interactive dashboards in Power BI to present key metrics, trends, and performance indicators, facilitating real-time decision-making.
- Designed and executed automated reports using Excel (Pivot Tables, Power Query, VBA) and Power BI, ensuring data accuracy and consistency across departments.
- Data Analysis: Excel (Advanced Pivot Tables, Power Query), Power BI (DAX, Data Modeling), Python (Pandas, NumPy, Visualization Libraries)
- Automation & Reporting: Power BI Dashboards, Excel Macros (VBA), Python Scripting.
Sebastian P.
Last position:
Postdoctoral Research Associate at Max Planck Institute for Human Development
- Published a peer-reviewed article on comparative analysis of biophysical models in diffusion MRI, impacting ongoing research projects.
- Got SciPy selected for the cover image of the corresponding journal issue.
Philipp G.
Last position:
Machine Learning Engineer at docmetric GmbH
- Analyzed patient data for various clients
- Developed complex analysis pipelines
- Performed quality assurance on methods
Srikar K.
Last position:
Application Developer at Vavili Technologies
- Played a key role in developing templeswiki.com as a Full Stack Developer, building and optimizing multiple pages and microservices to ensure a responsive and user-friendly experience.
- Developed an interactive chatbot integrated with Natural Language Processing (NLP) to enhance user engagement and streamline customer interactions within the application.
- Built a robust ETL pipeline using Python to generate multi-language labels, facilitating seamless content translation across languages.
- Led the QA team by crafting a comprehensive test plan to rigorously test and ensure the application's smooth operation, alongside developing an in-house attendance recording tool to improve organizational efficiency.
Kashaf K.
Last position:
AI Consultant / Expert at Siemens Mobility
- Evaluated 45+ AI use cases and developed a prioritization framework for Siemens’ internal AI roadmap.
- Tested internal tools like DRIM, SiemensGPT, Microsoft Copilot; presented evaluation outcomes to stakeholders.
- Identified performance gaps and improved tool adoption by 65%.
- Supported AI knowledge-sharing initiatives, led tool onboarding sessions, and improved team AI literacy.
- Collaborated with engineering, procurement, and digital teams on tool feedback and strategy alignment.
Vignesh T.
Last position:
Shift Lead at Flink Expansion GmbH
- Analyzed operational data from 400+ daily orders to identify bottlenecks and optimize delivery workflows, achieving 97% on-time delivery rate through data driven process improvements.
- Led cross-functional team of 10+ associates using data insights to improve protocol adherence by 25% and boost productivity by 15% within 3 months.
- Implemented performance tracking dashboards and KPI monitoring systems that improved staff retention by 10% and maintained 100% safety compliance.
- Drove operational excellence through continuous A/B testing of workflow processes and real-time performance analytics.
Ege P.
Last position:
AI Research Collaborator at NPO
- Contributed to the Karakutu project, developing AI-driven tools to analyze news in Turkey.
- Assisted in web scraping, applied NER for entity extraction, and built interactive filtering interfaces (Vue.js, Plotly.js) for entity and location based search.
- Performed sentiment and content-shift analysis to detect editorial influence in modified news articles.
Discover over 15,000 top freelancers
Statistics of experts using Matplotlib
Aggregated from the professional profiles of matched freelancers.
Experience
11 years
Position duration
2.1 years (Germany: 2 years)
Positions per freelancer
7
Top business areas
Information Technology, Business Intelligence, Research and Development
Top industries
Information Technology, Education, Healthcare
Certification focus areas
Business Intelligence, Information Technology, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
90% (Germany: 85%)
Doctorate
15% (Germany: 19%)
Certifications per freelancer
2
Most common languages
German, English, Hindi
Speak two or more languages
95% (Germany: 99%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Berlin are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Berlin using Matplotlib
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Matplotlib experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (81%)
- Education (57%)
- Healthcare (38%)
- Government and Administration (29%)
- Manufacturing (24%)
- Media and Entertainment (24%)
- Professional Services (24%)
- Automotive (19%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Matplotlib does
Matplotlib is a Python library for creating charts, plots and technical figures from structured data. Its pyplot interface supports quick exploration, while the object-oriented API gives teams precise control over axes, labels, legends, annotations and layout. It is widely used in analytics, research, engineering and reporting.
Visualisation work
Professionals use Matplotlib to deliver clear visuals for analysis and communication:
- Line, bar, scatter, area and histogram charts
- Statistical plots for exploratory data analysis
- Multi-panel figures with shared axes and annotations
- Export-ready graphics for reports, papers and presentations
- Reusable plotting functions for recurring datasets
The right chart type, scale and visual hierarchy matter as much as the code.
Python ecosystem
Matplotlib works closely with NumPy arrays, pandas DataFrames and Jupyter notebooks. Specialists often combine it with Seaborn for higher-level statistical styling, SciPy for scientific analysis and Plotly or Bokeh when interaction is required. They also handle vector and raster exports such as SVG, PDF and PNG, plus stylesheets, colour maps and custom fonts.
When expertise helps
Companies bring in freelance specialists when visual output must be accurate, consistent and easy to maintain. Typical triggers include a new analytics workflow, a research reporting cycle, a migration from ad hoc notebook plots or a need to standardise figures across teams. Berlin teams may also value professionals who can work remotely while joining local workshops in English or German.
Strong professional skills
A strong Matplotlib specialist understands the data behind every visual. They validate units, missing values, aggregations and uncertainty before choosing a representation. They write modular Python, separate data preparation from rendering and make figures readable across screen, print and presentation formats. Good documentation and reproducible notebooks make the result easier to review and extend.
Choosing the right fit
Look for examples that show more than attractive colours. Ask how the professional handled dense data, misleading scales, accessibility, export quality and changing inputs. Useful experience may include automated report generation, testing visual outputs, dashboard integration or scientific publication standards. A focused brief should define the data source, intended audience, output format and review process before work begins.
Frequently asked questions
What clients ask us most about Matplotlib — answered in short.
Matplotlib is used to create static charts and technical figures from Python data. Companies use it for exploratory analysis, automated reports, scientific publications, operational reviews and presentation graphics.
Matplotlib provides fine-grained control over figure structure and rendering. Seaborn adds convenient statistical styles on top of it, while Plotly is usually preferred when interactive browser-based charts are central to the project.
A capable Matplotlib professional will often work with NumPy, pandas and Jupyter. Depending on the assignment, experience with SQL, SciPy, Seaborn, Plotly, automated reporting or data visualisation principles is also useful.
The scope matters more than the library alone. A simple chart may need limited support, while publication figures, reusable visualisation modules or large reporting workflows call for a professional who understands Python structure, data validation and output standards.
Yes. Matplotlib work is commonly shared through notebooks, Python packages, version control and rendered previews, so remote collaboration is practical. For Berlin-based teams, agree early on working language, workshop times, review tools and the level of on-site participation required.
Matplotlib is primarily designed for static rendering, but it supports interactive backends for exploration inside notebooks and desktop environments. If end users need rich browser interaction, a specialist may recommend Plotly, Bokeh or a dashboard framework alongside Matplotlib.
Review whether Matplotlib figures are accurate, legible and reproducible rather than judging appearance alone. Check axis units, labels, legends, colour contrast, handling of missing data, export formats and whether the plotting code remains understandable when the dataset changes.
A Matplotlib assignment may include plotting modules, notebooks, chart templates, exported SVG or PDF figures, report assets and documentation. Define ownership of source code, expected input schemas, visual standards, test data and the process for updating figures before work starts.
The average hourly rate of freelancers in Berlin, Germany who have used Matplotlib in their recent projects is 71 €, which corresponds to a daily rate of about 565 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Matplotlib in their recent projects, 100% hold at least a Bachelor's degree, 90% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Matplotlib in their recent projects have 11 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Berlin, Germany who have used Matplotlib in their recent projects are German (100%), English (95%), and Hindi (19%).
The most common industries among freelancers in Berlin, Germany who have used Matplotlib in their recent projects are Information Technology (81%), Education (57%), and Healthcare (38%).
The most common business areas among freelancers in Berlin, Germany who have used Matplotlib in their recent projects are Information Technology (86%), Business Intelligence (67%), and Research and Development (67%).
Main locations of FRATCH Experts, who have recently used Matplotlib
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.
Hamburg 
Munich 
Frankfurt 
Nuremberg Request a free demo
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FRATCH CEO
