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PRAHARSHA JANDHYALA
Mid-level Data Scientist/Data Analyst specializing in ML, BI dashboards, and ETL pipelines
Dallas, TXData Analyst4 years experienceMid-LevelHealthcareHealthcare ITTechnology
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About
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.
Experience
Data AnalystHumana
Data ScientistHexaware
Data Scientist InternCitus Infotech
Education
Arizona State Universitymaster, Robotics and Autonomous Systems (Systems Engineering) (2024)
MVSR Engineering Collegebachelor, Mechanical Engineering (2021)
Key Strengths
- Feature engineering to turn messy, semi-structured behavioral data into a unified predictive feature space
- Model comparison and tuning across multiple regression approaches (Random Forest, linear models, gradient boosting)
- Data quality and entity resolution using deterministic + fuzzy matching (Levenshtein), validated with precision/recall and spot checks
- Production-minded Python workflow design (modular code, ETL automation, logging/exception handling, testing, Git, documentation)
- Applied embeddings + vector database similarity search to link records without exact matches; improved via domain fine-tuning
- Delivered predictive incident-resolution model from prototype to production based on stable validation performance and business value
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