FULL-STACK / DATA · August – September 2025
EvaluaProfData that brings perspective.
Ingestion, normalization and analysis of academic evaluations to turn responses into useful information.
VERIFIABLE EVIDENCE · OCTOBER 2026
- Professors in the dashboard
- 507 (per the screenshot)
- Reviews processed
- 2,022 (per the screenshot)
- Platform
- Live ↗
The problem
Scattered evaluations need cleaning and organization before they can be analyzed.
My contribution
Backend pipelines to validate academic data and NLP text analysis, connected to a query interface.
How it works
- Evaluations
- Validation
- Text analysis
- Visualization
Academic platform
ETL pipelines to normalize and validate academic data, NLP text analysis, and authentication and subscription-state flows.
The portfolio example uses fictional reviews. The project combines Python, Supabase, React and TypeScript.
Design decisions
- Validate external sources before bringing them into the application.
- Keep authentication, subscription and interface states consistent.
I can build something like this for you
Custom software and internal tools
Web systems built around how you operate: dashboards, inventory, roles and reports.
View service →Web scraping and data extraction
Collect public web data in an orderly way: prices, catalogs and listings.
View service →Software QA, testing and maintenance
API testing, bug fixing and maintenance so your system does not break in production.
View service →Facing a similar problem?
We can talk through how you work today, define the scope and find a starting point.
Tell me your idea ↗