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Vetted Data Scientists in the DFW Metroplex
Pre-screened and vetted in the DFW Metroplex.
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Mid-level Data Scientist specializing in recommendations, search relevance, and NLP
Mid-level AI Engineer specializing in LLMs, RAG, and multi-agent systems
Mid-level Machine Learning Engineer specializing in MLOps and applied data science
Divya Ganapala
Mid-level Data Scientist specializing in cloud ML, MLOps, and predictive analytics
“NLP/ML engineer with hands-on healthcare and support-ticket text experience, building clinical-note structuring and semantic linking systems using spaCy, BERT clinical embeddings, and FAISS. Emphasizes production-grade delivery (Airflow/Databricks, PySpark, Docker, AWS/FastAPI/Lambda) and rigorous validation via clinician-labeled datasets, retrieval metrics, and user feedback.”
PRAHARSHA JANDHYALA
Mid-level Data Scientist/Data Analyst specializing in ML, BI dashboards, and ETL pipelines
“Data/ML practitioner with experience at Humana and Hexaware, focused on turning messy, semi-structured datasets into production-ready pipelines. Built an age-prediction model from book ratings using heavy feature engineering and multiple regression models, and has hands-on entity resolution (deterministic + fuzzy matching) plus embeddings/vector DB approaches for linking and search relevance.”
Mid-level Data Scientist specializing in financial risk modeling and healthcare analytics
Mid-level Data Scientist specializing in ML, data engineering, and real-time analytics
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and LLM retrieval systems
Mid-level AI Engineer specializing in Generative AI and LLM agent systems
Mid-level Data Scientist specializing in ML, MLOps, and Generative AI
Mid-level AI/ML Engineer specializing in Generative AI, multi-agent RAG, and FastAPI backends
Habtom Desta
Mid-level Data Scientist specializing in Python, ML, and BI dashboards
“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.”