At Universal Electronics, I build Python and SQL Server workflows for multilingual chatbot, mobile-app, and product-support data. They handle extraction, cleansing, transformation, classification, validation, and reporting.
I developed self-service Streamlit workflows that deliver validated results in 2ā3 minutes, with more than 90% agreement on key classification outputs against reviewed samples.
I also developed an endpoint-analysis workflow for five input formats, with exception handling and regression validation. Refactoring Cypress and JavaScript product-validation scripts reduced a cycle from approximately five or six people working for a week to two people working for a day.
Earlier, at Raahee, I cleaned and analysed customer-feedback data and built Power BI reporting. Iām also developing MatchMind AI, a job and resume matching app that parses documents, scores matches, and ranks candidates.
