Data Visualization Experts in Nuremberg
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Meet FRATCH Experts in Nuremberg, who have recently used Data Visualization
Amir Alinaghi
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.
Ali Desteli
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.
Imane Habitou
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
Arun Sai Thunga
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.
Felix Kluge
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
Pawan Saxena
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
Uddipan Basu Bir
Last position:
Research Team Member at Munich Music Labs, TUM
- Focused on exploring the intersection of Music and AI.
Musaib Parray
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 Bhatia
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
Jens Möller
Last position:
Startup Coach & Innovation Expert at Strascheg Center for Entrepreneurship (SCE)
- Coaching and consulting for prospective international founding teams
- Conducting workshops and events on entrepreneurship and innovation
- Organizing the idea competition "Strascheg Award"
Aqsa Younus
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.
Andreas Vilinski
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 enhance developer and operations insights
- Did advanced performance optimizations in .NET code, DB and time series
- Provided architectural consultation for developer teams on performance, scalability, reliability and code quality
- Evaluated and built PoCs for new technologies including time series DBs and messaging platforms
- Technologies: C#/F#/Rust, InfluxDB, ClickHouse, Prometheus, Grafana, k6, RabbitMQ, EMQX, Docker, Kubernetes, Azure AKS
Christian Kornmesser
Last position:
Infrastructure components for computed tomography at Siemens Healthineers CT
- Design and development of components for computed tomography (CT)
- Infrastructure components for computed tomography (CT)
- Components for inter-process communication (WCF)
- Components for analysis of inter-process communication
Discover over 15,000 top freelancers
Statistics of experts using Data Visualization
Aggregated from the professional profiles of matched freelancers.
Experience
11 years (Germany: 15 years)
Position duration
2 years (Germany: 3 years)
Positions per freelancer
7 (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: 92%)
Master's degree or higher
92% (Germany: 67%)
Doctorate
8% (Germany: 11%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 98%)
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 Nuremberg 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 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 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 visualization turns data into charts, maps, dashboards, and story-driven reports that people can read quickly. It helps teams spot trends, compare performance, and explain results without digging through spreadsheets. Strong work makes the message clear, not just colorful.
Common tools
- Tableau for interactive business dashboards
- Power BI for reporting in Microsoft-heavy teams
- Looker and Looker Studio for governed analytics views
- D3.js for custom web-based visual stories
- Grafana for live operational monitoring
Typical work
Professionals in this field build KPI dashboards, management reports, customer analytics views, and product usage panels. They also design map-based views, time-series charts, and drill-down screens for self-service analysis. In Nuremberg, this often supports manufacturing, logistics, retail, and industrial reporting.
When to hire
Bring in freelance expertise when data is hard to read, stakeholders disagree on metrics, or a dashboard feels slow and cluttered. Specialists are also useful for redesigns, tool migrations, and one-off reporting needs. Remote collaboration works well for most work, while on-site sessions help with workshops and stakeholder alignment in Nuremberg.
What good looks like
- Clear chart choices for the question being asked
- Consistent labels, colors, and metric definitions
- Fast loading and clean interaction
- Accessible layouts for different users and devices
- Strong handling of messy source data and filters
Skills around it
Good work with data visualization usually sits close to SQL, analytics, UX, and sometimes front-end development. Many specialists also understand data modeling, reporting logic, and governance so the visuals stay trustworthy. For BI platforms, they know how to adapt a dashboard to the way teams actually work.
Frequently asked questions
Before you brief your next project: the most common questions about Data Visualization.
Data Visualization is used to turn numbers into charts, dashboards, maps, and reports that people can act on quickly. It helps teams track performance, compare options, and explain results to non-technical stakeholders. Good work makes complex data easier to read without hiding the details.
Tableau is one of the most common tools used for data visualization, but it is not the same thing. Data visualization is the broader practice, while Tableau is a product for building interactive dashboards and reports. The same applies to Power BI, Looker, and similar BI tools.
A strong Data Visualization freelancer helps when a dashboard needs a redesign, a reporting layer is inconsistent, or a new audience needs clearer views. Companies also bring in specialists for short projects, tool migrations, or when internal teams lack time. This is common when business, product, and technical teams all need the same data explained well.
The best Data Visualization professionals usually bring SQL, analytics, and strong UX judgment. For web-based visuals, knowledge of JavaScript and D3.js can matter too. For enterprise reporting, experience with data modeling and governance is often a big plus.
A Data Visualization project can be simple or highly demanding depending on the data, audience, and tool stack. A basic report refresh needs less depth than a self-service analytics layer or a custom interactive view. The safest choice is a specialist who has handled similar data sources and stakeholder expectations before.
Many data visualization tasks work well remotely because dashboards, mockups, and feedback cycles are easy to review online. On-site sessions can help when teams need to align on business definitions, workshop a reporting structure, or review sensitive data in person. In Nuremberg, hybrid work is often a practical fit for both sides.
A good data viz specialist explains why each chart exists and what decision it supports. Look for clean structure, readable labels, consistent metrics, and the ability to simplify without losing meaning. Strong specialists also ask about the audience before choosing tools or visuals.
Data Visualization in BI tools usually focuses on standard reporting, filters, and self-service analysis. Custom work goes further with tailored interactions, branded layouts, and visual logic built for a specific product or audience. Companies choose custom work when standard dashboards no longer fit the question.
The average hourly rate of freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects is 70 €, which corresponds to a daily rate of about 562 € 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 11 years of professional experience, with a single engagement typically lasting around 2 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 (31%).
The most common industries among freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects are Information Technology (77%), Automotive (54%), and Education (54%).
The most common business areas among freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects are Information Technology (77%), Product Development (77%), and Research and Development (77%).
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.
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