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Ayushi Patel
Mid-level Software Engineer specializing in cloud data platforms and serverless ETL
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About
Data/ML engineer from HCLTech who modernized enterprise data by linking fragmented financial and supply-chain data across SAP/SQL Server/Snowflake using NLP entity linking and embeddings (FAISS). Delivered measurable impact including ~40% reduction in manual error-log triage and entity-linking accuracy improvements from ~86% to ~93%, with results surfaced in Power BI for real-time analytics.
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Key Strengths
- Built NLP/ML pipeline to connect unstructured business data across SAP, SQL Server, and Snowflake
- Custom entity linking with human-in-the-loop feedback; improved accuracy ~86% to ~93%
- Reduced manual triage time ~40% by classifying error logs with XGBoost and routing automatically
- Entity resolution pipeline (blocking + similarity thresholds) reduced duplicate records by 40%+
- Used embeddings + FAISS vector DB to improve entity linking/search relevance; ~10% precision lift
- Production-grade Python workflows with orchestration (Airflow/ADF), CI/CD, testing, and monitoring
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