Meghna Shaw

Performed end-to-end data quality assurance on large datasets using anomaly detection and systematic audits. Automated QA workflows with Python and SQL queries and improved issue resolution before downstream reporting impacts. Validated vendor and merchant classification logic against business rules, contributed QA documentation and SOPs, and collaborated with international teams to support consistent data governance.

Gathered and analyzed business requirements and translated them into structured workflows and system solutions. Supported manufacturing operations by performing data validation with Python for MES-related functionality. Conducted root-cause analysis for system issues and proposed process improvements while aligning technical solutions with business needs and validating system functionality.

Created a real-time sentiment analysis web app using Hugging Face Transformers and Streamlit. Classified input text into sentiment categories and provided confidence scores. Demonstrated practical GenAI-based text analytics for decision support.

Developed an AI-powered resume screening system using embeddings and cosine similarity. Automated candidate-to-job matching to reduce manual screening effort. Implemented semantic comparison that goes beyond keyword-based filtering to improve hiring efficiency.

Built an interactive HR attrition dashboard using Excel to analyze a large employee dataset with multiple KPIs. Identified attrition rate and high-risk segments such as overtime employees and frequent travelers. Produced executive-ready insights across multiple departments and education levels to support retention and workforce planning.