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.”

“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.”

“Data engineer who has owned end-to-end ELT pipelines on Airflow + AWS (S3/Glue/Lambda) with Snowflake/Redshift, processing millions of records per day and tens of GBs via PySpark. Built strong data quality and reliability practices (40% quality improvement, 99%+ uptime), and also designed a resilient web-scraping system with anti-bot defenses and schema-change versioning plus REST APIs for serving curated data.”

Rachad khyya

Screened

Mid-level Performance Marketing Manager specializing in paid media for DTC e-commerce

Rabat, Morocco6y exp

“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.”

“Analytics-focused candidate with experience turning messy operational and educational program data into validated reporting assets, dashboards, and AI-ready datasets. They stand out for pairing SQL/Python data preparation with rigorous validation and lightweight NLP on open-ended feedback, driving reported improvements in reporting efficiency, engagement, and student success outcomes.”

“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.”

“FAU-based analytics candidate with hands-on academic project experience across SQL data preparation, Python/NLP sentiment analysis, and predictive modeling. They stand out for turning messy datasets into clean reporting tables, building reproducible analysis workflows, and translating findings into practical recommendations around operations, credit risk, and marketing ROI.”

“QA/supplier-performance focused candidate who uses defect and delivery data to spot recurring issues early, identify root causes tied to rushed timelines/high workload, and implement practical process changes (e.g., added validation steps and tightened defect definitions). Emphasizes clear, metric-backed communication to align internal stakeholders and suppliers, then monitors post-change results to confirm sustained improvement.”

Divya Patel

Screened

Mid-Level Software Engineer specializing in .NET and CMS platforms

Fremont, CA6y exp

“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.”