Python Scripting for Data WorkflowsIoana - Alexandra Popa
I create clean, documented Python scripts that automate messy or repetitive data workflows—cleaning, merging, enriching, transforming, or extracting data so your team doesn't have to. Whether you need a quick fix or a reusable internal tool, I build fast, scalable solutions that save time and reduce error.
What's included
Scripted Workflow (.py or notebook)
A clean, documented Python script or Jupyter notebook tailored to your use case—data cleaning, merging, transformation, enrichment, or automation. Includes comments, usage instructions, and modular code blocks for reuse.
Input/Output Mapping & Data Dictionary
A concise reference (Excel or Markdown) listing expected input formats, transformations applied, and resulting outputs—ensuring clarity for teams who’ll use or maintain the workflow.
Quick Start Guide / Usage Instructions
A 1–2 page document (PDF or Notion-style) explaining how to run the script, adjust parameters, and troubleshoot common issues. Designed for technical or semi-technical users who might need to tweak or reuse your work later.
UI Wrapper (Streamlit)
A lightweight UI so non-technical users can run the workflow via a browser, change settings, or upload files without code.
Scheduled Automation
Wrap your script in a scheduled task (e.g. using APScheduler, Python + cron, or Windows Task Scheduler) for recurring runs.
API Integration
If needed, the script can pull or push data via REST APIs (e.g., Google Sheets, Airtable, Pipedrive, custom CRM).
FAQs
Ioana - Alexandra's other services
Starting at$100 /hr
Tags
dbt
Jupyter
pandas
Python
Streamlit
AI Developer
Database Engineer
Data Scientist
Service provided by
Ioana - Alexandra Popa Cluj-Napoca, Romania
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- Followers
Python Scripting for Data WorkflowsIoana - Alexandra Popa
Starting at$100 /hr
Tags
dbt
Jupyter
pandas
Python
Streamlit
AI Developer
Database Engineer
Data Scientist
I create clean, documented Python scripts that automate messy or repetitive data workflows—cleaning, merging, enriching, transforming, or extracting data so your team doesn't have to. Whether you need a quick fix or a reusable internal tool, I build fast, scalable solutions that save time and reduce error.
What's included
Scripted Workflow (.py or notebook)
A clean, documented Python script or Jupyter notebook tailored to your use case—data cleaning, merging, transformation, enrichment, or automation. Includes comments, usage instructions, and modular code blocks for reuse.
Input/Output Mapping & Data Dictionary
A concise reference (Excel or Markdown) listing expected input formats, transformations applied, and resulting outputs—ensuring clarity for teams who’ll use or maintain the workflow.
Quick Start Guide / Usage Instructions
A 1–2 page document (PDF or Notion-style) explaining how to run the script, adjust parameters, and troubleshoot common issues. Designed for technical or semi-technical users who might need to tweak or reuse your work later.
UI Wrapper (Streamlit)
A lightweight UI so non-technical users can run the workflow via a browser, change settings, or upload files without code.
Scheduled Automation
Wrap your script in a scheduled task (e.g. using APScheduler, Python + cron, or Windows Task Scheduler) for recurring runs.
API Integration
If needed, the script can pull or push data via REST APIs (e.g., Google Sheets, Airtable, Pipedrive, custom CRM).
FAQs
Ioana - Alexandra's other services
$100 /hr