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Vetted Data Analysts in Texas
Pre-screened and vetted in Texas.
Senior Business Analyst specializing in data analytics and business intelligence
Mid-level Machine Learning Engineer specializing in LLMs and ML at scale
Senior Python/ML Engineer specializing in LLM-powered backend systems
Mid-level Full-Stack Software Engineer specializing in FinTech
“Built and deployed a production LLM-powered RAG assistant for semiconductor manufacturing failure analysis, reducing engineer triage effort by grounding outputs in retrieved evidence and gating responses with SPC + ML signals (LSTM anomaly scores, XGBoost probabilities). Experienced with LangChain/LangGraph to ship reliable, observable multi-step agents with branching/fallback logic, and evaluates impact using both technical metrics and business KPIs like mean time to triage and downtime reduction.”
Barbara Christina Cruze
Senior Business Analytics Consultant specializing in BI, data engineering, and predictive analytics
“Healthcare analytics candidate with hands-on experience turning messy claims, enrollment, and reference data into trusted SQL reporting layers and reproducible Python workflows. They emphasize metric standardization, stakeholder alignment, and operational impact, including ~40% reduction in manual reporting effort and improved forecasting/resource prioritization through high-risk patient segmentation.”
Senior GenAI/ML Engineer specializing in cloud-native multi-agent RAG and MLOps
Mid-level Data Scientist specializing in LLMs, RAG systems, and production MLOps
Mid-level Data Analyst/Data Scientist specializing in product analytics and machine learning
Mid-level Data Analyst specializing in banking analytics and regulatory reporting
Mid-level Data Engineer specializing in cloud ETL, Snowflake, and Databricks
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
Mid-level Data Scientist specializing in LLMs, RAG systems, and production MLOps
Senior Data Scientist specializing in ML, NLP, and fraud detection in banking
Mid-level Data Analyst specializing in financial analytics and regulatory reporting
Aaron Hinton
Director of Revenue Analytics specializing in forecasting, deal desk, and GTM strategy
“Operated as a data-driven cross-functional leader during a major company transition, owning initiatives across sales forecasting, pipeline analytics, and GTM process changes. Built an executive operating cadence with dashboards and weekly briefing packets that reduced information-chasing and improved decision-making, and successfully mediated Sales/Finance forecast assumption disputes using a single-page, fact-based recommendation.”
Hassan Abrar
Mid-level Analytics Professional specializing in marketing and business intelligence
“Analytics professional at TIAA with hands-on experience combining SQL, Python, and statistical modeling to unify complex marketing, product, finance, and customer datasets. Has worked on advisor-tool adoption analysis, 10-year wealth diagnostics, forecasting, cohort analysis, and escalation-risk modeling, with findings used by marketing and contact-center stakeholders.”
Varun Mallela
Mid-level Data Analyst specializing in financial and healthcare analytics
“Analytics professional with experience at Franklin Templeton and IQVIA India, focused on turning messy cross-system data into trusted reporting and actionable business insights. Stands out for combining SQL, Python, AWS ETL, and BI dashboards to solve data quality issues, improve investor engagement analysis, and standardize commercial reporting in financial services and pharma contexts.”
Ashwitha E
Junior Data Scientist specializing in fraud analytics and cloud data platforms
“Built and deployed production LLM-powered document summarization/classification systems using embeddings, vector databases (RAG-style retrieval), and automated evaluation (BERTScore/ROUGE), with a focus on monitoring and scalable cloud pipelines. Also partnered with a fraud analytics team to deliver a transaction anomaly detection solution, translating model outputs into Power BI dashboards and actionable KPIs while iterating on thresholds and alerts based on stakeholder feedback.”
Dhriti Kanchan
Mid-level Data Analyst specializing in healthcare and financial analytics
“Analytics-focused candidate with hands-on experience turning messy CRM, e-commerce, payments, and support data into trusted reporting datasets using SQL and Python. They have owned end-to-end churn and retention analytics work, including RFM-based segmentation, dashboard delivery, and metric standardization across sales, marketing, and finance.”
Keerthana Priya
Mid-level Data Analytics & ML Engineer specializing in NLP, LLMs, and cloud data platforms
“At KPMG, built and productionized a secure RAG-based LLM assistant that lets business and risk stakeholders query data warehouses in natural language, reducing dependence on data engineers for ad-hoc analysis. Demonstrates strong production rigor (Airflow orchestration, CI/CD, containerization), retrieval/embedding tuning (rechunking, semantic abstraction for structured data), and reliability controls (confidence thresholds, refusal behavior, monitoring and canary evals).”
Sailaja Lokasani
Mid-level Data Engineer specializing in cloud ETL/ELT and healthcare analytics
“Healthcare-focused data engineer/ML practitioner with experience at Lightbeam Health Solutions and Humana building production entity-resolution and semantic similarity pipelines across EMR, lab, and claims data. Uses NLP/ML (spaCy, scikit-learn, BioBERT/LightGBM) plus Snowflake/Airflow and vector search (Pinecone) to improve linkage accuracy (reported 90%) and semantic match quality (reported +12–15%), while reducing manual cleanup by 40%+.”