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Kainoa Eastlack

Senior Data Scientist specializing in NLP and explainable machine learning

Data Scientist – Miro Health8 years experienceSeniorHealthcareHealthcare ITSaaS
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About

NLP/ML practitioner who built an explainable, clinician-aligned system to detect cognitive decline (Alzheimer’s/stroke-related) from audio responses, achieving 97% accuracy on only a few hundred data points. Also has experience with healthcare claims entity resolution and prototyped a word2vec-based patent search vector database in Elasticsearch, with strong emphasis on testing, interpretability, and scalable Python data workflows.

Experience

Data ScientistMiro Health
Machine Learning EngineerVivun
Lead Data ScientistNovetta
Software EngineerBerico Technologies
Research AssistantLEIA Laboratory

Education

Rensselaer Polytechnic Institutemaster, Computer Science (2016)
Rensselaer Polytechnic Institutebachelor, Computer Science (2016)

Key Strengths

  • Built explainable cognitive-decline detection system from audio with 97% accuracy (beat human experts)
  • Strong feature engineering grounded in clinician-defined diagnostic signals (hybrid rules + ML)
  • Handles small-data/high-stakes modeling with overfitting-aware model selection (Ridge, k-NN)
  • Invented/iterated novel NLP features to handle linguistic edge cases (e.g., multi-word tokens)
  • Rigorous validation via extensive unit tests plus real-data case studies
  • Entity resolution for messy healthcare claims using source-aware similarity scoring and thresholding
  • Production-minded data workflow design for scalability (chunking, orchestration, AWS/EC2 autoscaling)
  • Clear stakeholder communication; delivered in 1 month vs 3-month expectation

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Languages

English

Skills

PythonSQLPostgreSQLJavaPandasNumPyScikit-learnNLTKStanzaStanford CoreNLPBoto3AWSAmazon RedshiftAmazon DynamoDBAmazon RDS