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Vetted Data & Analytics Professionals in Texas
Pre-screened and vetted in Texas.
Popular Titles
Apoorva Jadhav
Junior Data/Database Analyst specializing in AI, RAG systems, and analytics
Sai Nath Chowdary Medikonduru
Mid-level Data Scientist specializing in NLP, LLMs, and MLOps
Jyothi Illipilli
Mid-level Data Engineer specializing in AWS cloud ETL and analytics
ChaithanyaPriya Narra
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Sai Nruthik Sri Harsha Kuruva
Junior Data Scientist specializing in ML infrastructure and low-latency inference services
Sushma Bandugula
Senior Data Scientist specializing in fraud risk and real-time analytics
Sreeja Akuthota
Mid-level AI Engineer specializing in NLP, MLOps, and predictive analytics
Abhishek Saraf
Mid-level Data Scientist specializing in LLMs, RAG, and MLOps
Vishnu Kshatriya
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Indranil Biswas
Mid-level Data Scientist specializing in recommendations, search relevance, and NLP
Sai Lella
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
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.”
Pandraju Gamanapriya
Mid-level Data Scientist specializing in healthcare ML and GenAI
“Healthcare data/NLP practitioner with experience at UnitedHealthcare building production ML systems that connect unstructured call center transcripts and medical notes to structured claims data. Has delivered measurable impact (25% classification accuracy lift; ~30% relevance improvement) using classical NLP, embeddings (Sentence-BERT + FAISS), and AWS SageMaker deployments with robust validation and drift monitoring.”
Erik Arriaga
Mid-level Data Engineer specializing in cloud data pipelines and machine learning
“Experience spans college-built AWS-hosted Python/Flask web apps and enterprise data work at General Motors, including PostgreSQL query optimization on millions of records and multi-tenant-style data isolation using group-based, column-level permission grants. Also built an AWS-hosted meat price prediction dashboard using Dash/Plotly and ran large nightly data pipelines orchestrated with Apache Airflow.”
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.”
Vichitravir Dwivedi
Mid-level Data Engineer specializing in cloud data pipelines, analytics, and AI/ML
Disha Vaswani
Mid-level Data Analyst and ML Engineer specializing in analytics, dashboards, and model deployment
Muhammad Shahab Memon
Mid-level Data Scientist specializing in Generative AI, NLP, and computer vision
Nikhita Kalburgikar
Mid-level AI/ML Engineer specializing in MLOps and LLM applications
Akhil Kyatham
Mid-level Data Scientist specializing in financial risk modeling and healthcare analytics
Ramsha Akhter
Mid-level Data Engineer specializing in cloud lakehouse, ETL automation, and healthcare analytics
Erik Moyer
Director-level Data Science & Analytics Leader specializing in cloud data platforms and AI/ML
Afsaruddin Mohammed
Mid-level Data Engineer specializing in cloud data platforms and healthcare analytics