Data Visualization Experts in Nuremberg
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Meet FRATCH Experts in Nuremberg, who have recently used Data Visualization
Imane H.
Last position:
Assistant Manager People insights/Intelligence at adidas HQ
- Collected, analysed, and interpreted HR data from multiple systems
- Conducted ad-hoc people data analyses for stakeholders
- Supported Employee Listening and ensured actionable survey insights
- Built intuitive dashboards and visualizations in SuccessFactors, PowerBI, and Qualtrics
- Produced regular reports and dashboards on key HR metrics
- Contributed to people analytics projects as a junior team member
- Collaborated with HR Tech and Data teams to improve data quality
- Ensured ethical and governed data use with Legal, Data Privacy, Labour Relations and Works Council
Pawan S.
Last position:
CAPTCHA Recognition using CRNN
- Built a CRNN model with VGG16 and BiLSTM backbone for text-based CAPTCHA recognition
- Achieved 9.37% character error rate and 68.36% sequence accuracy on validation data
- Expanded data augmentation pipeline with distortions, noise injection, and clutter to improve robustness
- Conducted detailed error analysis on confusable characters (O, Q, D) and proposed error-specific augmentation
- Tech Stack: Python, TensorFlow/Keras, OpenCV, NumPy, Matplotlib
Amir A.
Last position:
Master's Thesis at Friedrich-Alexander University
- Analysis of the role of marriage as an informal insurance in Germany using econometric methods (supervisor: Prof. Dr. Harald Tauchmann).
- Prepared and cleaned multiple panel datasets and extracted relevant variables to create a final panel dataset with over 36,000 observations (2006–2020, SOEP).
- Designed an IV model in Stata to examine the causal link between couple separation and health shocks (mental/physical).
- Conducted robustness checks to ensure stability and validity of the results.
Jens M.
Last position:
Startup Coach & Innovation Expert at Strascheg Center for Entrepreneurship (SCE)
- Coaching and consulting for aspiring international founder teams
- Conducting workshops and events on entrepreneurship and innovation
- Organizing the “Strascheg Award” idea competition
Ali D.
Last position:
Software Engineer Industrial IT & PLC at Yaskawa Europe GmbH
Designed and implemented the complete data flow architecture for the Mercedes-AMG battery case production line, from raw material processing to end-customer traceability.
Developed MQTT-based communication protocols for Siemens S7 PLC controllers to enable efficient real-time data exchange between machines and supervisory systems.
Architected a local Ubuntu-based industrial server, integrating Node-RED for data collection, MySQL databases running in Docker containers, and automated data pipelines.
Commissioned connectivity of 52 Siemens PLCs and 32 Yaskawa welding and handling robots.
Designed and implemented HMI and visualization systems to support operator interaction and production monitoring.
Designed a 2D digital twin of the production floor, visualizing real-time process data from 26 Siemens PLCs and 18 Yaskawa welding robots via Stromquelle interfaces.
Implemented data collection and camera-based measurement systems for welding quality control and automated defect visualization.
Designed and optimized MySQL database structures, including stored procedures for data processing and performance analytics.
Arun Sai T.
Last position:
AI-Backend Developer Intern at Calvergy UA
- Integrated complex AI-based energy system models into the frontend framework, enabling the visualization of insights for 6+ key clients and maximizing energy utilization.
- Maximized energy efficiency and utilization by architecting the seamless data flow between AI models and the user interface for rapid, actionable reporting.
Aqsa Y.
Last position:
Multilingual Translation Tool - NLP Project
- Integrated MarianMT (Marian Machine Translation) models to ensure high-quality neural machine translation (NMT).
- Managed model loading and tokenization via Hugging Face Transformers, optimizing for offline caching and reproducibility.
- Planned extensions: language auto-detection, batch translations, and streamlined GPU inference with PyTorch.
Felix K.
Last position:
Senior Data Scientist at Novartis Pharma AG
- Led the implementation and validation of digital technology for real-world mobility assessment across clinical trials with high compliance rates
- Headed a cross-functional initiative that bridged clinical and data science teams, aligning digital technology integration with strategic goals
- Innovated algorithm development for sensor data analysis, leveraging time-series data to extract novel insights and improve predictive accuracy
- Designed and deployed predictive models using machine learning, integrating digital device data with clinical datasets
- Delivered strategic insights through the creation of dashboards and reports, ensuring effective data quality control and visualization for clinical trials
- Ensured reproducibility in data science workflows by establishing robust coding practices, comprehensive documentation, and version control
- Co-led exploratory statistical plans for digital biomarkers, advancing understanding and application of digital technologies in healthcare research
- Advised clinical teams as a subject-matter expert on digital technologies, fostering strategic integration and effective utilization in clinical trials
- Managed stakeholder engagement by collaborating with internal and external stakeholders, including contract research organizations and technology vendors
- Influenced decision-making by presenting analyses and findings to various management levels and stakeholders, emphasizing actionable insights and implications
- Disseminated knowledge through peer-reviewed publications
Andreas V.
Last position:
Senior Software Developer, Architect at ifm Solutions GmbH
- IoT platform to connect, transform and get actionable results
- Built a microservice observability solution to improve insights for developers and operations teams
- Made advanced performance optimizations in .NET code, databases and time series
- Provided architectural advice to developer teams on performance, scalability, reliability and code quality
- Evaluated and built PoCs for new technologies, including time series databases and messaging platforms
- Technologies: C#/F#/Rust, InfluxDB, ClickHouse, Prometheus, Grafana, k6, RabbitMQ, EMQX, Docker, Kubernetes, Azure AKS
Uddipan B.
Last position:
Research Team Member at Munich Music Labs, TUM
- Focused on exploring the intersection of Music and AI.
Musaib P.
Last position:
Research Intern – Exploring Reasoning with Diffusion Models at Machine Learning and Perception group, FAU Erlangen-Nürnberg
- Investigating the equivalence between the Tiny Reasoning Model (TRM) and diffusion models for structured reasoning tasks such as Sudoku and maze solving.
- Exploring the reasoning and generative capabilities of diffusion models in symbolic problem-solving environments.
Vasuraj B.
Last position:
Cloud Data Analyst at Bhatia Reply
- Analyzed 50K+ customer records using SQL and Python in a cloud services firm, identifying trends
- Designed interactive Tableau dashboards for sales and marketing stakeholders, reducing report
- Developed ARIMA and AutoARIMA time series models to forecast AWS resource utilization, cutting
- Automated ETL pipelines with Python, improving workflow efficiency by 20% for scalable data
- Collaborated with DevOps teams to deploy 3 machine learning models in production using Docker
Discover over 15,000 top freelancers
Statistics of experts using Data Visualization
Aggregated from the professional profiles of matched freelancers.
Experience
9 years (Germany: 14 years)
Position duration
1.9 years (Germany: 2.7 years)
Positions per freelancer
6 (Germany: 9)
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Automotive, Education
Certification focus areas
Business Intelligence, Research and Development, Information Technology
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
92% (Germany: 73%)
Doctorate
8% (Germany: 12%)
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 98%)
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 Nuremberg 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 Nuremberg using Data Visualization
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.
Data Visualization 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 (75%)
- Automotive (50%)
- Education (50%)
- Manufacturing (50%)
- Professional Services (33%)
- Banking and Finance (25%)
- Healthcare (25%)
- Arts and Crafts (17%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What it does
Data Visualization turns raw information into charts, dashboards and visual stories that people can understand and act on. It combines data analysis, visual design and interaction to reveal trends, outliers, relationships and operational signals. The work can support a single report or become a central interface for business decisions.
Where it is used
Companies use visual reporting across finance, sales, marketing, logistics, manufacturing, healthcare and public services. Typical deliverables connect live or scheduled data to views that answer specific business questions.
- Executive dashboards for performance and planning
- Operational views for supply chains and service teams
- Product analytics and customer journey reports
- Geographic maps, forecasts and risk visualizations
Tools and ecosystem
The ecosystem includes Tableau, Microsoft Power BI, Looker, Qlik and open-source libraries such as D3.js, Plotly and Apache Superset. Strong work also depends on SQL, Python or R, data warehouses, semantic models, APIs and reliable refresh pipelines. Specialists choose tools according to data volume, governance needs, user skills and the required level of interaction.
When to bring in specialists
Freelance expertise helps when internal teams have data but lack a clear reporting model, visual language or time to deliver. It is also useful during a BI migration, dashboard redesign, warehouse rollout or self-service analytics initiative. In Nuremberg, professionals may work remotely or alongside local teams, with German or English collaboration depending on stakeholders.
- Existing dashboards are slow, confusing or rarely used
- Different teams report conflicting definitions
- A new data source must become decision-ready
- Users need governed self-service reporting
What strong professionals deliver
A strong specialist begins with the decisions the audience needs to make, not with a chart type. They clarify metrics, validate data quality, design accessible layouts and test whether users interpret the result correctly. They also document calculations, permissions, refresh logic and ownership so the work remains dependable after handover.
How projects succeed
Successful projects set a clear audience, data scope and definition of done before visual design starts. Professionals should be able to explain trade-offs between Tableau, Power BI, custom JavaScript and other approaches, then build a maintainable solution rather than a one-off presentation. Regular reviews with business and technical stakeholders keep the final dashboard accurate, useful and trusted.
Frequently asked questions
Before you brief your next project: the most common questions about Data Visualization.
Data Visualization is used to communicate patterns, comparisons and changes in data through charts, maps, dashboards and interactive reports. It helps teams monitor operations, investigate performance and make decisions without reading raw tables.
Data Visualization focuses on representing information clearly, while business intelligence usually covers the wider process of collecting, modelling, governing and analysing data. In practice, visualization is often the user-facing layer of a BI solution built with tools such as Power BI, Tableau or Qlik.
A strong Data Visualization specialist may work with Tableau, Microsoft Power BI, Looker, Qlik, D3.js, Plotly or Apache Superset. Useful adjacent skills include SQL, data modelling, Python or R, dashboard performance, accessibility and data storytelling.
The right level depends on the work. A focused dashboard may need a specialist who can clean data, define metrics and build a clear view, while an enterprise reporting programme also requires governance, warehouse knowledge, permissions and stakeholder management.
Data Visualization projects often work well remotely because data reviews, design workshops and dashboard testing can be handled online. On-site sessions in Nuremberg can still help when the work involves sensitive information, complex stakeholder alignment or close collaboration with local business teams.
A capable Data Visualization professional often brings data analysis, UX thinking, information design and requirements discovery. Experience with cloud warehouses, APIs, statistical reasoning and access control can be important when dashboards depend on several systems.
Review whether the dashboard answers a defined business question quickly and accurately. Check metric definitions, source data, filtering behaviour, load performance, accessibility and documentation, then ask representative users to complete real tasks without guidance.
Before starting Data Visualization work, clarify the audience, decisions, data sources, refresh expectations, tool constraints and approval process. It is also important to confirm who owns metric definitions, access permissions, testing and maintenance after delivery.
The average hourly rate of freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects is 68 €, which corresponds to a daily rate of about 543 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects, 100% hold at least a Bachelor's degree, 92% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects have 9 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects are German (100%), English (100%), and French (25%).
The most common industries among freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects are Information Technology (75%), Automotive (50%), and Education (50%).
The most common business areas among freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects are Information Technology (75%), Product Development (75%), and Research and Development (75%).
Main locations of FRATCH Experts, who have recently used Data Visualization
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 
Hanover Request a free demo
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Philipp Thomaschewski
FRATCH CEO
