Pre-screened and vetted in Texas.
Senior AI/ML Engineer specializing in LLMs, computer vision, and enterprise ML platforms
Mid-level Data Scientist specializing in ML, time series forecasting, and GenAI/LLM systems
Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Senior Data Scientist specializing in Generative AI, NLP, and ML for banking and healthcare
Mid-level Data Scientist specializing in LLMs and NLP for financial analytics
Senior Data Engineer specializing in real-time pipelines, cloud data platforms, and healthcare analytics
Senior Data Analyst & Data Scientist specializing in healthcare, epidemiology, and predictive modeling
Senior Data Engineer specializing in AWS cloud data platforms and streaming analytics
Mid-level Business Analyst and Product Analyst specializing in data-driven operations
Mid-level Business Analyst specializing in sales analytics and revenue strategy
Mid-level Data Analyst specializing in healthcare and financial analytics
Mid-level Data Analyst specializing in AWS-based ETL, churn analytics, and BI dashboards
“Data/ML practitioner with experience at Airtel and Lincoln Financial delivering measurable business outcomes: improved retention 15% via NLP sentiment analysis and cut response time ~25% using sentence-BERT + FAISS semantic linking. Strong in data quality/identity resolution (SQL + fuzzy matching) and in building production-grade Python workflows orchestrated with Airflow/AWS Glue, including validation and dashboard integration in Power BI.”
Mid-level Data Engineer specializing in AWS lakehouse platforms and scalable ETL/ELT
“Data engineer focused on reliable, production-grade pipelines and data services: has owned end-to-end ingestion-to-serving workflows processing millions of records/day, using Airflow, Python/SQL, and PySpark. Demonstrates strong operational rigor (monitoring, retries, idempotency, backfills) and measurable outcomes (98% stability, ~30% faster processing), plus experience exposing curated warehouse data via versioned REST APIs.”
Director-level Data Science & Analytics Leader specializing in cloud data platforms and AI/ML
“Candidate states they are very familiar with the venture capital/studio/accelerator landscape and expresses strong willingness to pursue entrepreneurship "at all costs," but did not provide details on a current startup, business plan, fundraising, or prior accelerator/VC involvement during the interview.”
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.”
Entry-level Data Engineer specializing in ETL, analytics, and anomaly detection
“Worked on industrial pump analytics at SitePro, where they built an anomaly detector using messy sensor and pump data and used historical failure and maintenance cost analysis to make the business case to stakeholders. They combine SQL/Python data preparation with practical stakeholder communication around metrics like churn and operational impact.”
Mid-level Business Analyst specializing in healthcare and banking compliance
“Healthcare analytics professional with Cigna experience turning complex claims, eligibility, and provider data into trusted reporting layers using SQL, Python, and Power BI. Stands out for combining deep data-quality rigor with end-to-end ownership of operational analytics projects, including standardized retention/churn metric design and automated reporting workflows.”
Senior Business Analytics Analyst specializing in product and customer analytics
“Darwinbox team member who supported talent/recruiting operations while also driving product improvements across HR modules (recruitment, onboarding, payroll, performance). Led a small team (5–6) and implemented discovery-driven configuration and BI reporting (Power BI/Tableau/Confluence), including a reported 30% reduction in recruitment configuration issues and real-time funnel reporting to support fast hiring.”
Mid-level Supply Chain Analyst specializing in strategic sourcing and supply chain analytics
“Sourcing/procurement professional focused on electronic components, leading end-to-end RFQ and supplier selection through negotiation and delivery. Demonstrates strong data-driven cost management (Power BI modeling, benchmark pricing) and measurable results including ~18% cost reduction, avoiding production delays during shortages, and automating RFQ comparisons to cut cycle time ~40%.”
Senior IT Business Systems Analyst specializing in UAT, project delivery, and regulated platforms
“Worked on a P&C insurance integration project at Accenture, using SQL to unify policy, billing, and claims data from APIs and ETL pipelines into clean reporting tables. Demonstrated hands-on experience with data quality validation, window-function-based transformations, and query performance tuning, helping business teams get a single reliable view for faster claims processing and management reporting.”
Mid-level Business Analyst specializing in supply chain and logistics
“Analytics professional with hands-on experience in supply chain and logistics transformation, including enterprise data preparation in SQL, Python automation, and Power BI reporting. They highlight ownership of end-to-end digitization work at Blue Dart, where they defined operational metrics, aligned cross-functional stakeholders, and delivered measurable gains in transparency, reporting efficiency, and implementation quality.”