Recruitment Analytics Engine: Operational Efficiency through Automation

Role

Developer / Process Consultant

Domain

Operational Analytics

Date

Ongoing project

Link

Repository

Description

This engine automates tracking and analysis of 50+ corporate interactions. Instead of spreadsheets, I built a CLI-to-database pipeline using Bash scripts for preprocessing and SQLite for persistence. The Python reporting module generates "Efficiency Snapshots" measuring Conversion Ratio at each stage of the application funnel.

Result: 65% reduction in manual data entry time.

Technologies Used

Python

Shell Scripting (Bash)

SQLite

CLI Design

How I Did It

I automated the data ingestion process with shell scripts and built a robust reporting layer on top of SQLite.

Media

Image/Video Placeholder