Vetted Data Analysis Professionals

“Built a production LLM-powered clinical note summarization and retrieval system that structures patient/provider/payer discussions into standardized outputs (symptoms, treatments, clinical codes, and prior-auth decisions) and stores notes as embeddings for hybrid search and proactive prior-authorization prediction. Experienced with LangChain/LangGraph orchestration, RAG, and grounding against medical code databases, and has communicated model feasibility/limitations to business stakeholders (Virtusa/Comcast).”

“ML/NLP engineer with Industrial IoT experience who built an end-to-end anomaly detection and GenAI explanation system: AWS (S3, PySpark, EC2/Lambda) pipelines feeding dashboards, plus transformer-embedding vector search to connect anomalies to noisy maintenance notes and past events. Demonstrated measurable impact (15% lift in defect detection; ~35% reduction in manual review; 35% fewer preprocessing errors) and strong productionization practices (orchestration, monitoring, rollback, data-quality controls).”

“Creative designer/UX designer with a sales background who positions themselves as a strategic translator between growth/UA needs and brand craft. Portfolio examples include a high-polish Facebook UI concept redesign focused on calm, clarity, and accessibility, plus a human-centered wellness app emphasizing trust, privacy, and reduced cognitive load. Also builds scalable Figma systems and modular video/template workflows for high-volume marketing output.”

“Operations/workforce leader with multi-site management experience who led analytics-driven workforce planning and performance management, delivering improvements in efficiency, turnover, and time-to-fill. Partnered closely with senior leadership and industrial engineers to implement engineered labor standards across high-volume distribution centers using structured communication plans, employee engagement, and documented process updates.”

“Recent master’s graduate in robotics with applied experience across reinforcement learning and ROS 2 autonomy stacks. Built an RL-based drone vertiport traffic controller (PPO) focused on reward design and simulation integration, and has hands-on navigation work in ROS 2 including LiDAR preprocessing, SLAM/path planning, and stabilizing TurtleBot3 wall-following. Also brings deployment experience containerizing robotics nodes and scaling them with Kubernetes on AWS.”

“Recruiting Operations/Talent Ops leader who has managed both onshore and offshore recruiting teams and trained branch managers nationally on VMS tools. Known for redesigning ATS workflows and building recruiting dashboards to reduce time-to-hire in high-volume environments (including call center hiring), while improving candidate experience through scheduling and intake process standardization.”

“Data engineer with ~4 years of experience building Python-based data ingestion/processing services and real-time streaming pipelines (Kafka/PubSub + Spark Structured Streaming). Has deployed containerized data applications on Kubernetes with GitLab CI/Jenkins pipelines and applied GitOps to cut deployment time ~40% while reducing config drift. Also supported a legacy on-prem data warehouse/backend migration to GCP using phased migration and parallel validation to meet strict reliability/SLA needs.”