Vetted Power BI Professionals

“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”

“Performance marketer focused on scaling DTC/B2C e-commerce paid media across Meta, TikTok, and Google Search/Shopping. Has managed $80K–$120K/month budgets, using a creative-first, full-funnel testing system to improve blended efficiency (CPA down 22%, MER 2.6→3.4) and drive >60% revenue growth in four months, with a track record of diagnosing creative fatigue/retargeting saturation and restoring growth quickly.”

“Paid media specialist experienced managing high-spend accounts across Google, Meta, and LinkedIn with a focus on qualified lead generation at controlled CPA. Uses a disciplined testing and scaling framework (tracking via GA4/GTM, learning-phase completion, CPA/ROAS guardrails) and has driven a reported ~40% CPA reduction by auditing attribution/funnel issues and restructuring campaigns.”

“Unity/C# gameplay programmer with professional experience at Fabwelt Studios on the play-to-earn title "Arsenal," implementing player mechanics, interaction systems, and event-driven gameplay features. Also built a research-focused Tetris prototype as a master’s thesis, adding seedable RNG controls, data logging, and a playtest harness to study how randomness affects player perception.”

“Built and owned end-to-end systems for the Department of Water Resources and NAHC, including a debt infrastructure management system and a TypeScript/React + .NET 6 CMS. Strong in shipping quickly with quality (CI/CD, automated testing), optimizing SQL Server performance for large datasets, and implementing microservices-style async processing with reliability patterns (retries/idempotency/monitoring). Also delivered widely adopted internal workflow automation and reporting using Power Automate and Power BI.”

“Non-traditional hockey background but demonstrates strong transferable skills for athlete guidance: research-driven evaluation, structured planning, and ongoing support. Has proven mentoring results (tutoring improved a student’s Algebra grade from 85 to 93) and relationship-building that contributed to acceptance into a graduate program and completion of a master’s degree.”

“Backend/ML engineer with deep fintech and marketplace experience: built a real-time financial analytics + algorithmic trading platform (Python/Postgres/Kafka/Redis) and drove major DB performance wins (10x faster analytics; sub-10ms response consistency). Also shipped an end-to-end ML recruitment matching platform (scraping/ETL/modeling/Django deployment) with reported 92% matching accuracy, and emphasizes production reliability via monitoring, blue-green deploys, and robust workflow error handling.”

“AI/ML practitioner with production experience building a RAG-powered contextual customer support agent, optimizing for low latency using vector databases and smaller LLMs. Also deployed a fraud detection model on Kubernetes with auto-scaling for heavy transactional loads, and improved chatbot accuracy by 15% through metric-driven testing and evaluation. Partners with Marketing on personalization/recommendation initiatives with measurable outcomes tied to customer feedback.”

“Marketing automation/CRM specialist with experience sourcing and negotiating creator partnerships and measuring impact through UTMs and CRM funnel metrics (lead volume, lead quality, lead-to-customer conversion). Leveraged a personal network of creators/marketers/past clients to drive a reported 25% increase in qualified leads and accelerate partnerships versus cold outreach.”