Plotly Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Plotly
Michael Nelz
Last position:
Senior ML Engineer, AI Engineer at Lanxess AG
- Deployment and scaling of existing ML initiatives, including demand and cash flow forecasts.
- Building robust monitoring with mlflow for data stability, model performance, and drift detection, as well as implementing additional ML use cases.
- Further development of an Agentic AI chatbot for transparent and easy-to-understand model explanations.
Rutger Boels
Last position:
Partner & Managing Director at AI.IMPACT
- Building an AI & Data Consultancy Practice with the goal of helping European companies adopt Artificial Intelligence and modern data platforms
- End-to-end further development of a production system using modified coding agents (OpenCode). Tech stack: Kubernetes, Argo, Keycloak, Typescript, Grafana, GitOps, DevOps, Playwright
- Internal research project on the use of coding agents in the field of mathematical logic for creating formal models. Use of Cursor IDE and Codex, Codex CLI. Architecture design, quality control and refactoring, as well as writing code and tests. Repository (open source) available pre-launch
- Research on the role of mathematical logic as a formal language that connects IT and AI with business processes
- Project lead for collecting and deploying parking recommendations for rail vehicles with significant savings potential based on real-time data in a mobility and transport company
- Project lead for collecting and distributing process measurement points for real-time control in a mobility and transport company
- Deputy application owner for an app used for communication in the dispatching and provision of rail vehicles
Nomaira Fariah
Last position:
Freelance Product Designer / Design Engineer at Independent
- Design and build client web apps and self-directed products end-to-end, covering product design, design systems, and full-stack front-end on React, TypeScript, Tailwind, and Supabase.
- Designed and shipped a compliance and staff-records web application for a UK transport operator, covering data modelling, UX, and front-end build on Supabase with row-level security and Edge Functions.
- Built Merita, a private-by-default achievement-tracking and performance-review app, in a 48-hour hackathon (SheBuilds). It covers win logging linked to goals and competency frameworks, AI-assembled review packets with token-gated sharing, and a Promotion Readiness view, and is built on React, TypeScript, Tailwind, shadcn/ui and Supabase with row-level security and Edge Functions.
- Designed and built Pantressa, a grocery-tracking, meal-planning and budgeting app, owning product design through front-end delivery on React, TypeScript, Tailwind and Supabase.
Deepak Reddy Narra
Last position:
Machine Learning Engineer at go AVA GmbH
- Designed and built a multi-tenant Python/Flask API platform with JWT + API-key authentication, scoped access control, and service-level orchestration as the backbone for AI applications.
- Built a multimodal RAG system with hybrid chunking, dense/sparse embeddings, hybrid retrieval, reranking, and vector search to deliver grounded, high-precision responses across enterprise data.
- Productionized AI workflows with Docker, CI/CD, Redis-backed async job tracking, webhook callbacks, external AI/media service integrations, and runtime health/reliability controls.
Mugisha Enock
Last position:
Freelancer Business Data Analyst at Study Boundless
- Manage WordPress websites, ensuring SEO-friendly structures and high-performance functionality
- Create and optimize Google Ads campaigns, leveraging data to enhance conversion rates and ROI
- Develop Looker Studio & Power BI dashboards to track customer behavior, sales trends, and digital performance
- Implement Google Tag Manager (GTM) and Google Analytics (GA4) to enable precise event tracking and reporting
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.
Sebastian Dirndorfer
Last position:
Data Scientist at CLADE GmbH
- Designed and implemented a robust Python-based data processing framework that supported the transition from R to Python and significantly improved data science productivity by providing maintainable, standardized modules for frequently used workflows, following coding best practices and DevOps principles
- Evaluated, trained, and deployed machine learning models on cloud platforms and edge devices, enabling fully automated mid-infrared (MIR) data evaluation pipelines that eliminated manual analysis steps and significantly shortened the time from measurement to prediction for customers and internal stakeholders
- Analyzed and interpreted multivariate MIR spectral data from the company’s proprietary analyzer using R and Python, supporting reliable identification and quantitation of chemical compounds in solution
Julian Haluska
Last position:
Working Student / Master's Thesis Student Software Development at Scale GmbH
- Tech-Stack: Python, Qt, tensorflow.js, plotly, Angular, TypeScript, HTML, CSS, Git
Stephan Sahm
Last position:
Senior Data/ML Consultant & Technical Lead at Jolin.io
Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)
Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)
Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)
Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)
Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)
Stephan Baier
Last position:
Freelance Data Scientist at Baier Data & AI Consulting
Stefan Linner
Last position:
Dashboard for Interactive Data Analysis at LennardtundBirner GmbH
Development & deployment of an interactive dashboard that allows users to select datasets for visual analysis.
The application supports filters, AI-based interpretations, and a chatbot for user interactions.
shiny, openai, mirai, plotly, mapgl, duckdb, AWS, ShinyProxy, Docker Swarm
Prakriti Jain
Last position:
Student Research Assistant at Heidelberg University
- Built a Databricks ETL pipeline to ingest and clean JSON book metadata from the OpenLibrary API.
- Transformed nested datasets using Python/PySpark and structured them into curated analytical tables.
- Loaded processed datasets into Snowflake to enable SQL based reporting and metadata analysis.
Prasanna Hegde
Last position:
Master's Thesis Student at Robotics Research Lab, TU Kaiserslautern
- Benchmarked datasets, collected real-world off-road data (~9000 images) and generated simulation datasets using Unreal Engine.
- Developed Gen-AI image segmentation in Unreal Engine, reducing time from 1-2 days to 5-10 minutes.
- Built Generative AI data enhancement pipeline. Achieved an improvement in synthetic data by +49% mIoU.
- Tech: Python, PyTorch, C++, Git, LangChain, Gen-AI, Linux, W&B, OpenCV, Labelme.
Abhishek Kanakagiri
Last position:
Solana Offline Transaction Webapp
- Built a decentralized app using Next.js and Convex DB for secure offline Solana transaction signing.
Daryoosh Dehestani
Last position:
Data Analyst & MLOps-Engineer at CEWE Group
Set up and operated data-driven analysis and reporting processes in Power BI, Tableau, and SAP
Integrated SAP FICO and Workday data into Power Platform workflows to automate HR reports
Developed predictive ML models for workforce planning and KPI management
Used Azure and GCP (BigQuery, Dataflow) to process large data volumes (Big Data pipelines)
Automated reporting increased analysis efficiency by 40%
Introduced a GCP-based analysis model for employee turnover
Discover over 15,000 top freelancers
Statistics of experts using Plotly
Aggregated from the professional profiles of matched freelancers.
Experience
11 years
Position duration
2.1 years
Positions per freelancer
7
Top business areas
Information Technology, Business Intelligence, Research and Development
Top industries
Information Technology, Education, Healthcare
Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
89%
Doctorate
20%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
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 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 Plotly
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
Interactive visuals
Plotly is used to build interactive charts, dashboards, and data apps that let users explore information instead of reading static images. It fits reporting, analytics, and product work where hover details, filters, zoom, and linked views matter.
Common stack
A strong Plotly specialist usually works across the wider Python and JavaScript stack.
- Plotly Python for notebooks, reports, and data apps
- Plotly.js for custom browser visuals
- Dash for interactive web applications
- Pandas and NumPy for data prep
- Jupyter for analysis and review
Where it fits
Companies bring in freelance Plotly experts when they need a new dashboard, a redesign of an old reporting view, or a faster way to present complex data. In Germany, this often comes up in manufacturing, finance, logistics, and SaaS teams that need clear analytics for internal users or clients.
What good experts deliver
Good specialists do more than draw charts. They structure the data, choose the right chart type, and make interactions easy to use. They also keep color, labels, and layouts consistent so the result is readable on screens and in presentations.
When to hire
A freelance Plotly expert is useful when the work needs both data sense and front-end care.
- New dashboard or analytics view
- Migration from static plots to interactive visuals
- Custom Plotly Dash interface
- Performance tuning for large datasets
- Help with chart logic and UX decisions
Skills that matter
Strong Plotly professionals know how to work with data frames, callbacks, layout options, and event-driven interactions. They should understand how Plotly, Dash, and Plotly.js differ, and when to use each one. Clean code, careful testing, and good communication matter as much as chart design.
Frequently asked questions
Curious about Plotly? Here are the answers that come up again and again.
Plotly is used to build interactive charts, dashboards, and data apps that help people explore data in the browser or in Python notebooks. Teams use it for KPI views, operational reporting, and analytical tools where hover details, zoom, and filters are important.
Plotly focuses on interaction, while Matplotlib and Seaborn are more often used for static plots and quick analysis. If a project needs drill-down, web delivery, or dashboard-style navigation, Plotly is usually the better fit.
Plotly works well on its own for charts, but Dash is the usual choice when those charts need to become a full app. A strong freelancer can build callbacks, controls, and layout logic so users can filter, compare, and act on the data.
A good Plotly specialist usually knows Python well, especially Pandas for data shaping and Jupyter for analysis. For web-facing work, knowledge of Dash, basic JavaScript, and UI structure helps a lot.
A simple charting task can be handled by a specialist with solid practical experience, but dashboard work needs someone who understands data design and app flow. The more users, filters, and data sources involved, the more important it is to hire someone who has shipped end-to-end work with Plotly.
Yes, Plotly work is often a good fit for remote collaboration because the deliverables are easy to review in code, screenshots, and shared test links. For teams in Germany, remote experts are common, but on-site workshops can help when stakeholders need to agree on dashboard logic quickly.
Look for clear chart choices, consistent styling, and code that separates data prep from presentation. A strong Plotly freelancer can explain why a chart type was chosen, how interactions are handled, and how the work will stay maintainable.
No, Plotly is widely used with Python, but Plotly.js also supports browser-based visualization work. Some specialists focus on Python notebooks and Dash apps, while others build custom front-end visuals in JavaScript.
The average hourly rate of freelancers in Germany who have used Plotly in their recent projects is 95 €, which corresponds to a daily rate of about 757 € based on an 8-hour working day.
Of the freelancers in Germany who have used Plotly in their recent projects, 100% hold at least a Bachelor's degree, 89% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Germany who have used Plotly 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 Germany who have used Plotly in their recent projects are German (100%), English (98%), and French (23%).
The most common industries among freelancers in Germany who have used Plotly in their recent projects are Information Technology (69%), Education (52%), and Healthcare (31%).
The most common business areas among freelancers in Germany who have used Plotly in their recent projects are Information Technology (90%), Business Intelligence (79%), and Research and Development (77%).
Main locations of FRATCH Experts, who have recently used Plotly
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 
Munich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
