pandas Experts in Vienna
in minutes from vetted, available specialists with the power of AI.Hire experts who turn raw data into clean DataFrames, build analysis pipelines, and prepare reliable reports with pandas, NumPy, and Jupyter. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Vienna, 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
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
19 years
Position duration
3 years
Positions per freelancer
14
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Education, Transportation
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
80%
Master's degree or higher
80%
Doctorate
20%
Certifications per freelancer
2
Most common languages
German, English, Hungarian
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 Vienna 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 Vienna 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
Pandas is the standard Python library for working with tabular data. It helps specialists load CSV, Excel, SQL, and API data, clean messy fields, and reshape tables for analysis. Companies use it when reporting needs to be repeatable and easy to inspect.
Core tasks
- Merge and join datasets from different sources
- Filter, group, pivot, and aggregate business data
- Clean missing values, dates, and inconsistent labels
- Export analysis-ready files for teams and tools
Ecosystem
Strong pandas work usually sits next to NumPy, Jupyter, matplotlib, and SQL. Specialists also use it with scikit-learn, openpyxl, and parquet formats when the project moves from analysis into automation. Good professionals know how to keep data types, indexes, and time series under control.
When to hire
Companies bring in pandas specialists when spreadsheets no longer scale, reports break, or data from several systems needs one clear source. It also helps when a team in Vienna needs support in English for handover, documentation, or remote collaboration across locations. The best freelancers make the data pipeline readable, not just correct.
Strong profiles
A strong pandas specialist writes clear, testable data logic and explains choices in plain language. Look for careful handling of joins, null values, duplicates, and edge cases. Good deliverables are not only notebooks; they are reusable scripts, documented steps, and output that others can trust.
Typical projects
- Sales and finance reporting
- Data cleaning and preparation
- Ad hoc analysis and validation
- Automation of recurring data tasks
- CSV, Excel, and database workflow support
Frequently asked questions
Need clarity? These are the questions we hear most often about pandas.
pandas is used to clean, join, reshape, and analyze tabular data in Python. Companies rely on it for reporting, data preparation, validation, and quick analysis before work moves into dashboards or machine learning.
pandas is stronger than Excel when data needs repeatable logic, traceable steps, and larger transformations. Compared with SQL, it is better for in-memory analysis and preparation; compared with NumPy, it is built for labeled tables and mixed data types.
A strong pandas specialist usually knows Python, SQL, and Jupyter, plus solid data cleaning habits. For many projects, comfort with NumPy, file formats like CSV and Excel, and basic visualization tools is also important.
pandas support makes sense as soon as data work becomes repetitive, fragile, or hard to review. That can happen with a single messy export, a recurring report, or a pipeline that breaks when source data changes.
Yes, pandas work is often well suited to remote delivery because the main inputs are files, databases, and clear business rules. In Vienna, on-site time only becomes useful when a team wants direct workshops, stakeholder alignment, or access to local systems.
A good pandas specialist should deliver clean notebooks, reusable Python scripts, and documented steps for the data flow. Depending on the project, you may also want validation checks, exported files, and a clear explanation of assumptions.
With pandas, quality shows up in readable code, correct joins, stable type handling, and careful treatment of missing data. Good work is easy to rerun, easy to review, and produces the same result when the source data changes only where it should.
If a report takes too long, a spreadsheet keeps breaking, or data from several sources does not match, pandas expertise is likely the right fix. It is also valuable when a team needs faster preparation for analytics, modeling, or recurring operations.
The average hourly rate of freelancers in Vienna, 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 Vienna, Austria who have used pandas in their recent projects, 80% hold at least a Bachelor's degree, 80% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Vienna, Austria who have used pandas in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Vienna, Austria who have used pandas in their recent projects are German (100%), English (100%), and Hungarian (17%).
The most common industries among freelancers in Vienna, Austria who have used pandas in their recent projects are Information Technology (83%), Education (67%), and Transportation (67%).
The most common business areas among freelancers in Vienna, Austria who have used pandas in their recent projects are Information Technology (100%), Business Intelligence (83%), and Project Management (83%).
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.
Countries:
Vienna 
Graz Request a free demo
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Philipp Thomaschewski
FRATCH CEO
