pandas Experts in Vienna
matched in minutes with vetted and available freelancersHire experts who clean and transform datasets, build analytical workflows, and prepare reliable inputs for machine learning. Get precise access to vetted, available freelancers who can support Python data projects from remote teams or local companies in Vienna.
Meet FRATCH Experts in Vienna, who have recently used pandas
Stefan D.
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 S.
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 L.
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 G.
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 E.
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 S.
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
83%
Master's degree or higher
83%
Doctorate
17%
Certifications per freelancer
2
Most common languages
German, English, Hungarian
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Vienna are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
pandas experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (83%)
- Education (67%)
- Transportation (67%)
- Manufacturing (67%)
- Banking and Finance (50%)
- Construction (33%)
- Energy (33%)
- Healthcare (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
DataFrame Foundations
pandas is an open-source Python library for working with structured data. Its core objects, DataFrame and Series, support filtering, joining, grouping, reshaping, and time-aware analysis. Companies use it to turn raw files, database extracts, and API responses into datasets that can be inspected and reused.
Cleaning and Transformation
pandas specialists handle inconsistent columns, missing values, duplicate records, mixed data types, and unreliable dates. They create repeatable transformations with clear assumptions and validation checks. Typical deliverables include cleaned DataFrames, reusable notebooks, export routines, and documented data-preparation steps.
Python Data Ecosystem
pandas works closely with NumPy, Jupyter, and Python’s broader data ecosystem. Strong professionals also use SQL for extraction, Matplotlib or Seaborn for exploration, and scikit-learn when prepared data feeds machine learning.
- Read CSV, Excel, JSON, and database data
- Combine sources with joins, merges, and concatenation
- Aggregate, pivot, resample, and reshape datasets
- Export tested outputs for reporting or downstream systems
Business Applications
Teams bring in pandas expertise for reporting automation, financial analysis, customer data preparation, operational dashboards, research, and forecasting workflows. In Vienna, local companies may need support that fits existing Python systems while collaborating with specialists remotely or alongside an on-site team.
- Replace fragile spreadsheet processes
- Prepare datasets for machine learning
- Reconcile records from different systems
- Create repeatable analysis for business teams
When Freelance Support Helps
Freelance expertise is useful when a project has messy source data, a short delivery window, or a workflow that only one analyst understands. Specialists can audit existing notebooks, improve performance, add tests, and hand over maintainable processes. They can also connect pandas workflows to scheduled jobs, cloud storage, and production services.
Quality Signals
A strong professional explains how data changes at each step and distinguishes exploration from production code. Look for practical experience with schema checks, memory use, vectorized operations, error handling, and reproducibility. Clear documentation, focused tests, and sensible use of pandas features matter more than complex code.
Frequently asked questions
Need clarity? These are the questions we hear most often about pandas.
pandas is used to load, clean, transform, combine, and analyze structured data in Python. Companies often use it for reporting workflows, financial analysis, customer datasets, operational data preparation, and inputs to machine learning.
pandas provides labeled tables and convenient operations for mixed, structured datasets, while NumPy focuses on numerical arrays and low-level computation. SQL remains well suited to filtering and aggregating data inside a database, so a strong specialist often combines all three rather than treating them as direct replacements.
A capable pandas specialist usually understands Python, SQL, NumPy, Jupyter, and data validation. Depending on the assignment, experience with scikit-learn, visualization libraries, APIs, cloud storage, and workflow scheduling is also valuable.
The right level of pandas experience depends on data volume, source quality, and delivery risk rather than a fixed number of years. A simple analysis may need focused scripting skills, while production workflows call for testing, performance tuning, documentation, and reliable handover.
pandas projects are often suitable for remote collaboration because code, notebooks, datasets, and reviews can be shared digitally. Vienna-based teams should agree on data access, documentation standards, meeting routines, and language expectations before work begins.
A company should consider pandas when data arrives repeatedly, comes from several sources, or requires transformations that must be reproduced consistently. It is also a better fit when spreadsheet processes become difficult to audit, test, maintain, or share across teams.
Review whether pandas code handles missing values, data types, duplicates, dates, and unexpected inputs deliberately. Good work is readable and tested, explains important assumptions, avoids unnecessary row-by-row operations, and produces the same result when the workflow is rerun.
With pandas, performance depends on data size, memory use, file formats, and the operations chosen. Experienced specialists use vectorized methods, efficient dtypes, selective loading, chunking, or tools such as Polars or database processing when a DataFrame workflow is no longer the best fit.
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, 83% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 17% 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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