Manufacturing Test Software, Diagnostics & Engineering Analytics
Python diagnostics, MES process controls, and SQL-backed engineering tools for manufacturing test, repair, and traceability.
The workflow
- 01Capture test & repair data
- 02Investigate failure patterns
- 03Guide corrective action
The challenge
Engineering diagnosis becomes slower when test results, serial histories, repair activity, and customer-return information are disconnected. Production testing also needs clear process controls and reliable data capture.
My approach
I develop Python bench diagnostics and MES controls that enforce station sequence and required operations. I also built SQL, PHP, and Power BI analytics linking test and repair data, plus a Bounce Management System that combines complaints, vendor information, repair history, and return-test results.
What it enables
Python bench diagnostics increased repair yield by 15%. The separate Bounce Management System reduced engineering diagnostic time by 50% and improved visibility into recurring failure trends.
Sandip Sitaula · Manufacturing Test & Systems Integration Engineer