pandas Experts in Austria
in minutes with vetted, available specialistsHire experts who clean data, shape DataFrames, and build analysis workflows with pandas, NumPy, and Jupyter. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Austria, who have recently used pandas
Stefan Dangubic
Last position:
BI Consultant in Controlling at Reutter GmbH
- Extraction, transformation, and cleansing of data from Microsoft Dynamics AX
- Creation of sales reports in Power BI
- Training employees in business intelligence
- Technologies: Power BI, SQL, SQL Server Integration Services (SSIS)
Marcel Steger
Last position:
Senior AI Engineer - Python at Insurance Company
Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock
Achievements:
- Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
- Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
- Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
- Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.
Alexander Lechner
Last position:
Guest lecturer in Artificial Intelligence (Master’s Level) at FH des BFI Wien
- Teaching & presenting
- Communication
- Effectively communicate complex technical topics to non-technical audiences through lectures
- Guided non-technical students from zero knowledge to confidently understanding and applying algorithms to achieve business outcomes
Fabio Galvagni
Last position:
IT Architect, Requirements Analyst and Consultant at CANCOM
- Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
- Takes over and stabilizes existing solutions after a short handover
- Business analysis and requirements engineering for migration to a new cloud environment
- Optimization of machine learning models for feature extraction and customer profiling
- Ensures data protection and compliance
- Leads the migration of on-prem systems to Microsoft Fabric
- Designs new AI platforms for clients
- Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication
Hossein Adibpouya
Last position:
Datawarehouse Consultant at LENZING AG
- Consulting on the enterprise data-warehouse and reporting practice at one of Austria's largest industrial groups.
- Designing and standardizing Power BI dashboards and data-visualization governance for company-wide enterprise reporting.
- Developing a WCAG-compliant, colorblind-safe visualization standard (Okabe-Ito palette) to harmonize dashboards across the organization.
Jürgen Eckel
Last position:
Chief Executive Officer at Riddle&Code GmbH
- Pivoted the company into data-driven and AI-powered energy optimization solutions for microgrids, energy communities, and grid operators.
Christian Schön
Last position:
Commercial Manager/CFO at MEV Independent Railway Services GmbH
- CFO, authorized signatory, commercial managing director: finance, HR, IT & organization, funding
- Achieved reorganization and 100% growth in staff and revenue over four years while keeping fixed costs constant
- Improved a negative equity ratio to plus 30%
- Implemented a modern IT and reporting system
Discover over 15,000 top freelancers
Statistics of experts using pandas
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
2.7 years
Positions per freelancer
12
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Transportation, Manufacturing
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
83%
Master's degree or higher
67%
Doctorate
17%
Certifications per freelancer
3
Most common languages
German, English, Persian
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 Austria 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 Austria using pandas
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
Data work in Python
pandas is the standard Python library for working with tabular data. It helps specialists load files, clean rows, join sources, and prepare data for analysis, reporting, and machine learning. Teams use it for ad hoc studies, repeatable pipelines, and scripts that turn raw exports into usable tables.
Common tasks
- Read CSV, Excel, JSON, SQL, and parquet data
- Filter, group, merge, and reshape DataFrames
- Handle missing values, types, and time series
- Prepare data for notebooks, dashboards, and models
Strong professionals know when to use vectorized operations, when to avoid slow loops, and how to keep transformations clear. They write code that others can review, test, and reuse.
Ecosystem around it
pandas rarely stands alone. It is often used with NumPy for numerical work, Matplotlib or Seaborn for charts, Jupyter for interactive analysis, and SQL tools for data extraction. In many projects it sits between source systems and the final report, model, or export.
When companies bring help
- Legacy scripts need cleanup or better structure
- Reporting logic has become hard to trust
- Data sources changed and pipelines now break
- Internal teams need short-term support for analysis work
Freelance experts are useful when a company needs fast delivery without adding long-term headcount. In Austria, they often support local teams remotely or on-site, especially when Python work sits close to finance, operations, or analytics.
What strong specialists do
A strong pandas specialist understands data shape, data quality, and performance trade-offs. They can explain why a merge duplicates rows, why a dtype matters, or why a groupby result is wrong. They also keep notebooks readable and move important logic into maintainable scripts.
Good fit for projects
pandas is a good fit for business reporting, data preparation, exploratory analysis, ETL-style scripts, and model input preparation. It also appears in audit trails, recurring exports, and one-off investigations where the data must be checked, cleaned, and summarized quickly. For teams in Austria, clear communication in English is often enough, while local collaboration can matter for workshops or handovers.
Frequently asked questions
Questions about pandas? Start with the answers below.
pandas is used to work with tabular data in Python. Companies rely on it to clean exports, combine files, reshape tables, and prepare data for reports, dashboards, or models. It is a practical choice when the work starts with messy data and ends with something people can use.
pandas sits between spreadsheet work and lower-level data tools. Compared with Excel, it is better for repeatable logic and larger workflows; compared with SQL, it is better for in-memory transformation; compared with NumPy, it is easier for labeled tables and mixed columns. The best choice depends on where the data lives and how repeatable the task needs to be.
A strong pandas specialist usually knows Python well, plus SQL, NumPy, and Jupyter. Many also bring experience with CSV and Excel imports, data cleaning, and plotting tools like Matplotlib or Seaborn. For production work, testing and basic software structure matter too.
pandas work does not always need a long engagement, but it does need someone who can read the data fast and spot weak logic. If the task is a simple file cleanup, a focused expert may be enough. If the code feeds reporting or a model, you want someone who can design for reuse and accuracy.
For many pandas projects, yes. Data cleanup, analysis, and script work are often done remotely, with source files and requirements shared online. On-site time can still help when the team needs workshops, access to internal systems, or close alignment with business users in Austria.
Ask which data sources they have worked with, how they validate results, and how they handle missing values, joins, and types in pandas. You should also ask how they make code readable for other experts and how they document assumptions. Good answers are concrete and tied to real workflows, not just library names.
Look for clean DataFrame logic, correct handling of edge cases, and clear explanations of trade-offs. A good pandas professional can show how they tested a transformation and why the result is trustworthy. Review how they structure notebooks or scripts, not only the final output.
pandas is often used for analysis, but it can also support smaller production pipelines and scheduled data preparation jobs. It works well when the data volume fits memory and the logic is easy to maintain in Python. For larger or distributed workloads, companies usually pair it with other tools.
The average hourly rate of freelancers in Austria who have used pandas in their recent projects is 107 €, which corresponds to a daily rate of about 858 € based on an 8-hour working day.
Of the freelancers in Austria who have used pandas in their recent projects, 83% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Austria who have used pandas in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Austria who have used pandas in their recent projects are German (100%), English (100%), and Persian (14%).
The most common industries among freelancers in Austria who have used pandas in their recent projects are Information Technology (71%), Transportation (71%), and Manufacturing (71%).
The most common business areas among freelancers in Austria who have used pandas in their recent projects are Information Technology (100%), Business Intelligence (86%), and Project Management (71%).
Main locations of FRATCH Experts, who have recently used pandas
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.
Vienna Graz 
Vienna Request a free demo
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Philipp Thomaschewski
FRATCH CEO
