Python CSV Cleanup and Validation Toolkit with Reporting

Python CSV Cleanup and Validation Toolkit with ReportingPython CSV Cleanup and Validation Toolkit with Reporting

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Mohamad Allatayfeh

• Oct 4

Built a lightweight CSV Cleanup & Validation Toolkit for teams that need cleaner data before reporting, analysis, or system imports.

The utility standardizes column names, trims inconsistent spacing, removes exact duplicate rows, checks required fields, flags duplicate key values, and produces a separate validation report.

It runs on Python 3.9+ with no third-party packages, making it easy to review, deploy, and adapt for internal workflows.

Deliverables include the tested script, sample files, clear documentation, cleaned output, and issue-by-issue reporting.

Data Analysis ChatGPT

Anish Raj

• Oct 3

🎧💜 The clean and vibrant UI of this music app creates a calm, immersive listening experience, while smooth controls and simple navigation make finding and playing your favorite songs effortless.

🎶 Thoughtful organization, clear song lists, and a minimal player layout let you stay focused on the music without unnecessary clutter or extra clicks.

Adobe Suite ChatGPT Figma appdesign Product Design UI Design

Mahmudul Hasan Manik

pro

• Oct 4

sick execution

Matt Sorensen

• Oct 3

Built a lightweight Python CSV validation tool that catches duplicate IDs, missing values, invalid numeric fields, and negative amounts—then exports only the rows needing review. I build practical automations, internal tools, and AI/API workflows for teams that want less manual cleanup and more reliable operations.

Babar Durrani

• Oct 3

AI Property Maintenance Automation AI-powered property maintenance automation designed to streamline how property management teams handle tenant maintenance requests.

The system takes a maintenance request, analyzes the issue, determines its priority and category, recommends a suitable vendor, and automatically creates a structured work order.

Workflow: Tenant request → AI analysis → Priority & category → Vendor matching → Work order

Built with: Python, Flask, SQLite, HTML, CSS, JavaScript, and AI-assisted request classification.

This project was built as a portfolio demonstration of AI automation for property management operations.