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JYOTHI N - Data Scientist / Business Intelligence Engineer in Austin, TX

JYOTHI N

Senior Data Scientist specializing in analytics, experimentation, and BI on AWS

AmazonJawaharlal Nehru Technological UniversityAustin, TX7 Years ExperienceSenior Level

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About

Data/ML practitioner focused on healthcare data quality and record linkage: analyzed 10M+ records, built anomaly detection and NLP-driven entity resolution, and automated AWS ETL/validation pipelines (Glue/Redshift/Lambda), cutting data errors by 40% and generating $500k in annual savings. Has hands-on experience with embeddings (Sentence Transformers/spaCy), FAISS vector search, and fine-tuning for domain-specific matching.

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Key Strengths

  • Improved healthcare data quality on 10M+ records; reduced data errors by 40% and delivered $500k annual savings
  • Built scalable AWS-based ETL and data validation pipelines (Glue/Redshift/Lambda) with automation
  • Strong entity resolution for messy, unstructured data using fuzzy matching and embedding-based similarity
  • Validated matching/model performance with precision/recall, sampling, and statistical tests (t-test, chi-square)
  • Production-grade Python workflow practices: modular pipelines, orchestration (Airflow/Glue), testing (pytest), data validation (Great Expectations), monitoring (CloudWatch), Docker, CI/CD
  • Fine-tuned domain-specific embedding models to improve healthcare matching accuracy

Reference Highlights

Strongly Recommended
  • Strong ability to design and implement ML/NLP solutions at scale (9/10)
  • Excellent work on provider effectiveness and length-of-stay analysis using ML
  • Strong Python skills
  • Writes clean, maintainable code
  • Builds reliable, scalable data pipelines
  • Emphasis on validation and monitoring
  • Clear communication with technical and non-technical stakeholders
  • Effective cross-functional collaboration
  • Bridges business and engineering effectively
  • Clarifies definitions and aligns stakeholders quickly
  • Documents agreed logic clearly
  • Full problem ownership from investigation through delivery
  • Makes informed decisions based on data, impact, and feasibility
  • Delivers reliable, scalable, production-ready solutions
  • Strong testing and documentation practices
  • Hardworking
  • Teamwork
  • Effective and smart work
  • Reliable

JYOTHI's references speak for themselves. Let us connect you.

Experience

Data Scientist / Business Intelligence EngineerAmazon · Feb 2025 – Present
Data ScientistLoma Linda University Health · Oct 2021 – Feb 2025
Data ScientistStee Software · Nov 2018 – Aug 2021

Education

Jawaharlal Nehru Technological Universitybachelor, Information Technology

Languages

English

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Connect with JYOTHI

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Typically responds within 24 hours

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JYOTHI NSenior Data Scientist specializing in analytics, experimentation, and BI on AWS