Prophet Experts in Germany
matched in minutes with vetted freelancers and the power of AIHire experts who can build reliable forecast models, tune seasonal patterns, and review time series pipelines with Prophet. They support planning, demand forecasting, and reporting workflows, with fast, precise matching to vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Prophet
Kabir Khaleque
Last position:
AI Engineer / Banking IT Specialist at Hamburg Commercial Bank (HCOB) & Real Estate Firm
- Developed a retrieval-augmented generation (RAG) application using LangChain and LangGraph for corporate document parsing, delivered as an installable Electron desktop application with local AI models via Ollama.
- Currently providing ongoing AI feature support for the Loan Pricing Tool at Hamburg Commercial Bank, with a commitment of three days per month.
- Architected Kubernetes-native solutions, including Helm chart configuration and Azure DevOps pipeline integration.
Sara Ali
Last position:
Research Associate and Data Scientist at National Center of Robotics and Automation - Condition Monitoring Lab
- Developed ASR and TSR-based speech processing pipelines on AWS, enabling efficient feature extraction and scalable deployment for speech and text analytics.
- Built a Multimodal Speech Emotion Recognition system combining NLP and deep learning (audio + text), achieving 98% accuracy and supporting real-time, cloud-based inference.
- Designed and optimized end-to-end model training and evaluation workflows using AWS services (S3, EC2, Lambda) to ensure performance, reliability, and reproducibility.
- Created and deployed interactive, user-friendly dashboards for data visualization and insight generation, supporting research teams and management in data-driven decision-making.
Geraldine Castillo
Last position:
Solution Engineer (Data & ML Integration) at Amadeus Data Processing GmbH
- Designed ML-ready data integration workflows between on-premise systems and cloud platforms (Snowflake, AWS Redshift, Azure), enabling scalable feature engineering and model deployment
- Implemented automated ML pipeline deployment using Python, SQL, and CI/CD tools, reducing model deployment time by 60%
- Developed data transformation logic for master data synchronization across ERP and analytics systems, ensuring data quality for predictive models
- Collaborated with cross-functional teams to translate business requirements into mathematical specifications for ML solutions
Atefeh Karimzadeh Sharifabadi
Last position:
Freelance AI Trainer at Outlier
- Designing and optimizing prompts for AI and machine learning models to improve reasoning, problem-solving, and scientific accuracy.
- Evaluating model performance and providing structured feedback to enhance consistency, reliability, and interpretability.
- Applying data-driven insights to refine AI outputs for technical and scientific applications.
- Developing practical experience in Machine Learning, AI evaluation, and prompt engineering for scientific use cases.
Marius Huianu
Last position:
Senior Project Manager / SAFe Solution & Release Train Engineer (Lead Scrum Master) at Telefonica O2
- Led the largest agile project at Telefonica O2 (€21+ million, 11 Scrum & system teams in Germany and India, 80+ developers, 3 vendors) using SAFe, Scrum and Kanban. A showcase project at Telefonica for agile scaling.
- Scaled agile processes to a large project using SAFe.
- Delivered the project at half the cost and time compared to similar projects.
- Test management / coordination of system testing.
- Coached teams (SAFe & Scrum).
- Rollout planning/management.
Tobias Oberrauch
Last position:
Python Developer at BundesMessenger
Implementing new features in the admin backend
Automated tests (unit, E2E)
Architecture coordination with external partners
Features: user management, room control, release automation.
Varun Chaturvedi
Last position:
Business Data Analyst at GREYCELLS Lifesciences Pvt. Ltd.
- Oversaw end-to-end reporting workflows in SANsfe, ensuring high-quality data for field operations and management dashboards.
- Performed performance analysis using staff visit data to highlight coverage gaps, productivity patterns, and operational inefficiencies.
- Improved reporting efficiency by standardizing templates and automating repetitive Excel tasks (formulas, pivots, macros-lite).
Khawaja Abdullah
Last position:
Software Developer at Veripark
- Contributed to the development of an LLM-based RAG Python pipeline that reduced Garanti Bank’s customer onboarding time by 35%.
- Developed a C# console application for post-deployment tasks in Azure DevOps, cutting manual setup time by 40%.
- Created TypeScript web resources for PowerApps, reducing manual recalculation errors by 30%.
- Designed Power BI dashboards visualizing CRM and operational data, delivering actionable insights for data-driven decisions
Discover over 15,000 top freelancers
Statistics of experts using Prophet
Aggregated from the professional profiles of matched freelancers.
Experience
12 years
Position duration
1.9 years
Positions per freelancer
6
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
71%
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100%
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 Prophet
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 is
Prophet is a time series forecasting library used to predict trends, seasonality, and recurring events. It fits well when teams need practical forecasts for planning, reporting, and decision support without building a model stack from scratch.
Common work
- Demand and sales forecasting
- Capacity and inventory planning
- Traffic, usage, and growth trend analysis
- Holiday and event-aware forecasts
- Forecast dashboards for business teams
Skills around it
Strong Prophet specialists work with Python, pandas, SQL, and clear data prep. They know how to handle missing values, outliers, changepoints, and seasonal settings, then explain the result in plain language to stakeholders.
When to bring in help
Companies often bring in freelance expertise when forecasts need to be rebuilt, checked, or moved into production. That is common in Germany when teams want remote support for analytics work, but also need clear communication with local business and product teams.
What strong experts do
A good specialist does more than fit a model. They validate input data, test forecast assumptions, compare error patterns, and make sure the output is useful for decisions. They also document limits, such as when Prophet is not the right fit for sparse or highly unstable data.
Ecosystem fit
Prophet is often used alongside Jupyter, Python notebooks, scheduled jobs, and BI tools. It is a practical choice for teams that want readable forecasts, quick iteration, and a workflow that can be handed over cleanly.
Frequently asked questions
What clients ask us most about Prophet — answered in short.
Prophet is used for forecasting time-based data such as demand, sales, visits, usage, and other repeating patterns. Teams choose it when they need clear seasonality, holiday effects, and trend projections that business users can understand.
Prophet is usually easier to set up than classic ARIMA workflows and more interpretable than many machine learning models. Compared with XGBoost, it is better suited to structured time series forecasting, while XGBoost can help when you have many external features and a more custom modeling setup.
A strong Prophet specialist should be comfortable with Python, pandas, SQL, data cleaning, and forecast evaluation. Useful adjacent skills include feature engineering, dashboarding, and enough business context to explain why a forecast changed.
A Prophet project can start with a clean dataset and a clear forecasting question, but it still needs stable data definitions. If the source data is inconsistent, the expert should first fix the pipeline and business rules before trusting the forecast.
Yes, Prophet work is often done remotely because the core tasks are data review, modeling, and result explanation. For teams in Germany, remote collaboration usually works well if the expert can join planning calls and communicate clearly with local stakeholders.
Prophet is a good choice for business forecasting with recurring seasonality, holiday effects, and a need for fast interpretation. It is less suitable when data is very sparse, highly irregular, or depends on complex causal relationships that require a different modeling approach.
Look for a Prophet specialist who validates data, explains assumptions, and tests forecasts on holdout periods or backtests. Good signs are clear documentation, sensible handling of outliers and changepoints, and forecasts that match business reality, not just a neat chart.
Yes, Prophet is the forecasting library originally known as Facebook Prophet and later referred to as Meta Prophet in some contexts. Searchers still use those names, so a strong specialist should recognize them and work comfortably with the same library and methods.
The average hourly rate of freelancers in Germany who have used Prophet in their recent projects is 71 €, which corresponds to a daily rate of about 569 € based on an 8-hour working day.
Of the freelancers in Germany who have used Prophet in their recent projects, 100% hold at least a Bachelor's degree and 71% hold at least a Master's degree.
On average, freelancers in Germany who have used Prophet in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Germany who have used Prophet in their recent projects are German (100%), English (100%), and Spanish (13%).
The most common industries among freelancers in Germany who have used Prophet in their recent projects are Information Technology (75%), Banking and Finance (50%), and Automotive (25%).
The most common business areas among freelancers in Germany who have used Prophet in their recent projects are Information Technology (88%), Product Development (75%), and Business Intelligence (63%).
Main locations of FRATCH Experts, who have recently used Prophet
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 Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
