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Sandeep Reddy Karumudi
Mid-level Data & Business Analyst specializing in analytics engineering and BI
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About
Data/analytics professional with experience across manufacturing and enterprise environments (Wisconsin School of Business project with CNH Industrial; roles/projects at Ascensia Technologies, S&C, and Adobe). Has hands-on work combining warranty/lifecycle tables with technician free-text notes using TF-IDF + tree models (XGBoost/Random Forest), and deep experience in entity resolution/reconciliation across mismatched financial systems using Python/SQL and fuzzy matching, with production-grade pipeline practices in Azure Data Factory/Databricks.
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Key Strengths
- Integrating structured and unstructured data for ML modeling
- Pragmatic NLP feature extraction (TF-IDF) to keep models lightweight
- Strong entity resolution and cross-system reconciliation using fuzzy matching + multi-key logic
- Rigorous validation practices (row counts, completeness, cross-source consistency, exception datasets)
- Production-minded data engineering in Python (modular design, logging, testing, orchestration)
- Balances rapid prototyping with production hardening (parameterization, scheduling in ADF/Databricks)
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