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Vetted Data Scientists in Texas
Pre-screened and vetted in Texas.
Arpit Bajpai
Mid-level Data Scientist specializing in fraud detection, forecasting, and conversational AI
Sowjanya Gangumolu
Mid-level Data Scientist / ML Engineer specializing in Generative AI and MLOps
Siyu Xiao
Senior AI Engineer specializing in credit risk modeling and cloud ML platforms
Umesh chowdary
Mid-level Data Scientist specializing in ML, time series forecasting, and GenAI/LLM systems
Pranit Ahuja
Junior Software Engineer and Data Scientist specializing in data platforms and LLM applications
Mounika Vadthya
Senior Data Scientist specializing in Generative AI, NLP, and ML for banking and healthcare
Ram Yeturi
Mid-level AI Engineer & Data Scientist specializing in Generative AI, NLP, and Cloud ML
Veera Sadhu
Mid-level Data Scientist specializing in LLMs and NLP for financial analytics
Chiagoziem Jacob
Senior Data Analyst & Data Scientist specializing in healthcare, epidemiology, and predictive modeling
Nathan Magnon
Senior AI/ML Engineer specializing in LLMs, NLP, and production MLOps
Ankita Mungalpara
Mid-level Data Scientist specializing in Generative AI and multimodal systems
“Recent J&J intern who built a conversational RAG agent and led a shift from a monolithic model to a modular RAG workflow, cutting response time from several days to under a second by tackling data fragmentation, context retention, and embedding/latency optimization. Also worked on a large (7B-parameter) multimodal VQA pipeline for healthcare research and stays current via NeurIPS/ICLR and open-source contributions.”
Matthew Melendez
Mid-level Data Scientist specializing in machine learning and analytics
“Data scientist with hands-on experience building an XGBoost-based customer segmentation/churn risk scoring model used by sales and marketing teams. Emphasizes production-grade practices—efficient SQL for large-scale data pulls, rigorous data validation/testing, and scalable, modular Python code designed to support multiple customer types.”
Muaaz Syed
Mid-level AI/ML Engineer specializing in NLP and conversational AI
“ML/NLP engineer focused on real-time IT ops analytics, building a predictive maintenance/anomaly detection platform end-to-end (multi-source ETL, streaming, modeling, and production deployment on GCP/Vertex AI). Uses deep learning (LSTMs, autoencoders/VAEs) plus embeddings (SentenceBERT) and vector search to improve incident correlation and search, citing ~40% reduction in duplicate alert noise.”
Colin Billing
Senior Data & ML Engineer specializing in cloud data platforms and real-time analytics
SanthoshKumar Reddy alasandagutti
Principal AI/ML Engineer specializing in credit risk and healthcare predictive modeling
Sai Nath Chowdary Medikonduru
Mid-level Data Scientist specializing in NLP, LLMs, and MLOps
Shoaib Mohammad
Mid-level AI/ML Engineer specializing in GenAI, RAG, and MLOps
ChaithanyaPriya Narra
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Sanath Aitha
Senior AI/ML Engineer & AWS/Python Developer specializing in serverless platforms and RAG
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