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Habtom Desta
Mid-level Data Scientist specializing in Python, ML, and BI dashboards
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About
Data/NLP practitioner who builds production-oriented pipelines for unstructured text: entity extraction, topic modeling (LDA/BERTopic), and semantic search using Sentence-BERT embeddings with FAISS. Emphasizes rigorous evaluation (coherence/silhouette + manual review), entity resolution with validation, and scalable workflow orchestration using Airflow/Prefect with Spark/Dask.
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Key Strengths
- Built end-to-end NLP pipeline for organizing/linking large unstructured text datasets
- Systematic topic modeling evaluation (coherence tuning for LDA; embeddings + HDBSCAN with silhouette scoring)
- Semantic search and document linking using embeddings + FAISS k-NN retrieval
- Search relevance improvements via dense+sparse retrieval and transformer reranking
- Practical entity resolution approach (blocking + logistic regression/threshold classifier) with multi-step validation
- Production-minded data workflows (Airflow/Prefect orchestration, Spark/Dask scaling, modular code, observability via logging/metrics)
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