Hybrid Embedding and BM25 Semantic Matching Pipeline
I executed semantic text matching using embeddings and scoring to surface distinctive passages.
- Machine Learning
- Natural Language Processing
- Latent Semantic Analysis
- Python
- Word Embedding
6 projects.
Other categories
I executed semantic text matching using embeddings and scoring to surface distinctive passages.
I conducted an analysis of longitudinal intervention data that delivered a client-ready report with figures in a Jupyter notebook.
I mined data for ~4,000 entities in two game systems to create a model based on percentile mapping that converts entities from the old system to the new one.
I optimized chess analysis software. I improved performance, data retrieval, and parsing accuracy.
I analyzed law firm call logs to assess staffing needs and evaluate agent performance.
I conducted an analysis of the results from an at-home sleep study, producing a report with supporting visualizations.
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