Pari Manouchehri

Data Scientist

Boeing

Aug 2023 - Mar 2025 (1 year 8 months)

• Built NLP similarity models using Doc2Vec, TF-IDF, and Sentence Transformers (BERT embeddings) to detect non-conformance records and retrieve similar historical cases via cosine similarity, improving efficiency by 30% • Developed anomaly detection pipelines (Z-score, Isolation Forest, Autoencoder, LOF) for quality control, identifying issues early and reducing defect rates by 20% • Built forecasting models (ARIMA, Prophet) for demand and resource planning • Developed recommendation and prioritization systems to improve decision-making and workflow efficiency • Created automated text summarization systems using Hugging Face models (T5, BART) to extract insights from large engineering reports, reducing manual review time and improving repor

Research Analyst

CDC Foundation

Jan 2022 - Jul 2023 (1 year 7 months)

• Developed the ML-based Get Healthy Index (GHI) for Idaho to assess health disparities and guide policy-driven resource allocation at the census-tract level. • Integrated multi-source datasets and built statistical analysis (entropy index, dissimilarity index, VIF, and location quotient); and built Weighted Quantile Sum Regression model to identify key drivers of health inequality • Integrated multi-source datasets and built statistical analysis (entropy index, dissimilarity index, VIF, location quotient); developed Weighted Quantile Sum Regression model to identify health inequality. • Designed Tableau dashboards and KPI systems and automated data workflows to support public health decision-making, reducing analysis time by 25% and enabli

Data Science Apprentice

Thinkful

Sep 2019 - Jul 2020 (11 months)

• Built end-to-end ML solutions for customer segmentation, COVID-19 forecasting, and anomaly detection, improving model performance by 20% through feature engineering and hyperparameter tuning. • Applied dimensionality reduction (PCA, t-SNE, UMAP) and conducted A/B testing to optimize features and evaluate model and business decisions.

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Senior Data Analyst

National Iranian Oil Co. (NIOC)

Sep 2007 - Feb 2014 (6 years 6 months)

• Designed ETL pipelines and conducted exploratory and statistical analysis on healthcare and operational datasets to support forecasting and data-driven decision-making. • Built survey systems and analytical models for resource allocation, improving healthcare access by 15% and reducing resource waste by 10%.

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