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PRAHARSHA JANDHYALA - Data Analyst in Dallas, TX

PRAHARSHA JANDHYALA

Mid-level Data Scientist/Data Analyst specializing in ML, BI dashboards, and ETL pipelines

HumanaArizona State UniversityDallas, TX4 Years ExperienceMid Level

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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.

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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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Experience

Data AnalystHumana · Jan 2024 – Present
Data ScientistHexaware · Oct 2021 – Nov 2022
Data Scientist InternCitus Infotech · Dec 2019 – Sep 2021internship

Education

Arizona State Universitymaster, Robotics and Autonomous Systems (Systems Engineering) (2024)
MVSR Engineering Collegebachelor, Mechanical Engineering (2021)

Awards

  • 1st Place – National Go-Kart Design Competition
  • Top 10 Rank in Mechanical Engineering at Osmania University (9th)

Languages

English

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Connect with PRAHARSHA

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Typically responds within 24 hours

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PRAHARSHA JANDHYALAMid-level Data Scientist/Data Analyst specializing in ML, BI dashboards, and ETL pipelines