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Meridian
Career intelligence platform trained on 75,000+ cross-sectional records using ensemble ML and SHAP explainability. Serves 5,000+ active users with a 30% reduction in advising cycle time.
View ProjectCV-to-Resume Conversion Tool
Translates 200+ academic credentials into industry-aligned skills. Adopted by 5,000+ students without requiring ongoing staff involvement.
View ProjectPhD Internships Database
Searchable career intelligence database with automated update pipelines. 10,000+ annual users across disciplines.
View ProjectSentiment-Augmented Persona Validation
NLP pipeline validating career personas through sentiment analysis on 3,000+ open-text survey responses and 60+ interview transcripts.
View ProjectCOVID-19 PhD Career Impact Study
Interrupted time series analysis measuring pandemic impact on doctoral career aspirations (n=329). Published in Journal of Experimental Political Science.
View ProjectNSF/Mellon Career Pathways Dashboard
Integrated ML persona predictions with demographic and geospatial data. Informed $1.2M+ in program funding allocation decisions.
View ProjectDissertation Research
"Designing PhD Career Personas Using Cluster Analysis" - K-means, XGBoost, Random Forest, SHAP explainability, Streamlit, AWS. Full replication package on Harvard Dataverse.
RIASEC Composite Feature Engineering
Psychometric composites from Holland Code survey data as primary feature inputs for career persona classification across 75,000+ records.
View on GitHubK-means Persona Clustering
Four validated PhD career personas using K-means clustering with silhouette scoring of 0.37 across 75,000+ cross-sectional survey records.
View on GitHubXGBoost Classification and Model Validation
3-class XGBoost classifier (F1=0.58, precision=0.60, recall=0.57) with Random Forest and logistic regression benchmarks and SHAP explainability.
View on GitHubResearch
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