Vetted Data & Analytics Professionals in Texas

Sarita Patade

Screened

Mid-level Regulatory Affairs Manager specializing in cosmetics, OTC, and global compliance

Frisco, TX

“Sourcing/product professional with hands-on experience managing end-to-end contract manufacturing for consumer products (including a pressed eyeshadow palette) from vendor selection and GMP-focused audits through formula approval, pilot batches, claims testing, and launch. Demonstrates strong commercial negotiation (MOQs, tiered pricing, component cost-downs tied to service metrics) and pragmatic risk mitigation, including a COVID-era nutrition drink mix launch pivot to a flavor extension leveraging existing inventory.”

Sai Swetha Bodlapati

Screened

Senior Data Engineer specializing in Spark, Kafka, and Databricks Lakehouse platforms

Dallas, TX5y exp

“Data engineer at Fidelity who built and operated a real-time financial transactions lakehouse on AWS/Databricks, processing millions of records daily with Kafka streaming. Demonstrated strong reliability and data quality practices (watermarking, idempotent Delta writes, validation/reconciliation, observability) and delivered measurable improvements (~30% faster jobs and ~30% fewer data issues) while enabling trusted gold-layer analytics for downstream teams.”

“Data/ML practitioner with experience at UnitedHealth Group building a fraud claims detection solution combining structured claims data and unstructured notes, validated with compliance stakeholders to improve actionable accuracy. Also applied embeddings, vector databases, and fine-tuned language models in a Bank of America capstone to detect threats/anomalies in financial documents, with production-minded Python ETL workflows using Airflow.”

“NLP/ML engineer with hands-on healthcare and support-ticket text experience, building clinical-note structuring and semantic linking systems using spaCy, BERT clinical embeddings, and FAISS. Emphasizes production-grade delivery (Airflow/Databricks, PySpark, Docker, AWS/FastAPI/Lambda) and rigorous validation via clinician-labeled datasets, retrieval metrics, and user feedback.”