Vetted Microsoft Excel Professionals

“Contract/freelance paid media specialist who personally managed a high-spend ($50K–$80K/month) ecommerce cycling brand across Meta and Google. Drove measurable gains including ROAS improvement (~3.2 to ~5.2), ~$330K+ tracked revenue on an ~$80K peak-month spend, and ~20% CPA reduction through structured creative/audience testing, feed optimization, and profitability-focused campaign management.”

“Performance marketer from Fitbit who owned the highest-funded paid media efforts, managing multi-million-dollar monthly budgets across Meta, Google Search, and Performance Max with a disciplined experimentation framework. Demonstrated impact includes a 25% conversion-rate lift and 10% retention improvement, plus strong marginal-CAC-based budget reallocation and creative-fatigue recovery to protect blended efficiency at scale. Seeking a full-time role with clear ownership of growth levers and fast, data-driven execution.”

“Account Executive Intern with hands-on end-to-end involvement in HRIS SaaS sales at Paycom (owned most of the AE motion except final close), focused on sourcing greenfield pipeline and building business cases/POVs/POCs. Also helped build an outbound playbook and sales tech stack at Harcourts, including dialer optimization and CRM integration, and has earlier experience selling web/app/marketing services to small businesses.”

“Merchandising/brand partnerships professional with Hot Topic experience sourcing and scaling licensed collaborations (e.g., Monster High with Mattel) by using social/customer demand signals and post-launch sell-through/ratings analysis. Strong in vendor/licensing negotiations to improve wholesale costs and margins, and in data-driven assortment planning with weekly performance reviews and seasonality-based inventory strategies.”

“Sales candidate with 35 years of experience who expressed interest in AI and shared a resume link and LinkedIn profile, but did not provide any concrete deal examples or details about outbound prospecting or recent closes during the screen.”

“Game economy/product designer with hands-on experience tuning F2P word/puzzle games (Crossword Jam, Word Trip). Introduced internal currencies and wallet-based reward personalization to control coin inflation and protect IAP/rewarded ads performance, backed by Google Sheets modeling, cohort analysis, and competitor benchmarking (Royal Match, Wordscapes). Based in Santa Clara, CA and prefers remote work with occasional travel.”

“Growth-creative lead focused on scaling paid acquisition profitably across Meta and Google (Search/PMax), with a rigorous testing approach that isolates creative impact and uses ROAS/CPA decision rules tied to breakeven thresholds. Strong in translating performance signals (drop-off, hook effectiveness, audience shifts) into concrete edit lists and modular UGC/influencer-driven creative systems for rapid iteration across Meta, TikTok, and YouTube.”

“Partnerships and growth operator with experience in community/creator-style ecosystems (Cantanda Company and other sales/consulting roles). Uses on-the-ground community research and relationship-led outreach to source and close partnerships, then measures impact via engagement, reach, and community growth. Has run referral-driven activation experiments and community-led GTM programs that became repeatable playbooks across locations.”

“Built and deployed a production LLM/RAG clinical document understanding and summarization system for healthcare, focused on reducing manual review time while meeting strict accuracy, latency, and compliance needs. Demonstrates strong MLOps/orchestration depth (Airflow, Kubernetes, Azure ML Pipelines) and a rigorous approach to hallucination mitigation through layered, source-grounded safeguards and stakeholder-driven requirements with physicians/compliance teams.”

“Built and deployed a production LLM-powered email assistant (“wood flow”) for a local pet resort to automate after-hours inbound email handling, including email categorization and context-aware auto-responses. Uses n8n for orchestration and applies CRISP-DM, load/edge-case testing, and RAG-based context retrieval, and has experience presenting AI solutions with budgeting and ROI to a non-technical founder.”

“Python backend engineer who owned an end-to-end Django/DRF authentication and account-management module (JWT, RBAC, email verification) and optimized token validation performance. Has hands-on Kubernetes + Helm delivery with GitOps via ArgoCD (multi-environment app-of-apps, drift detection/rollback) and has supported a cloud-to-on-prem migration using staged testing and phased cutover. Also built and scaled a Kafka-based real-time user activity tracking pipeline with reliability and backpressure controls.”

“Healthcare data/NLP practitioner with experience at UnitedHealthcare building production ML systems that connect unstructured call center transcripts and medical notes to structured claims data. Has delivered measurable impact (25% classification accuracy lift; ~30% relevance improvement) using classical NLP, embeddings (Sentence-BERT + FAISS), and AWS SageMaker deployments with robust validation and drift monitoring.”

“Talent/Recruiting Operations leader from high-volume, customer-centric environments who has managed teams of 18–42 and owned workforce planning, QA calibration, onboarding/training, and process optimization. Notable for redesigning a service-coordinator hiring funnel (standardized competency screening + scheduling automation + revamped onboarding) driving 8–10% service-level gains and faster fills, and for leading cross-functional system implementations with strong reporting/analytics rigor.”

“Data/ML practitioner with experience at Humana and Hexaware, focused on turning messy, semi-structured datasets into production-ready pipelines. Built an age-prediction model from book ratings using heavy feature engineering and multiple regression models, and has hands-on entity resolution (deterministic + fuzzy matching) plus embeddings/vector DB approaches for linking and search relevance.”

“Built and shipped Serrano AI, a multi-tenant SaaS conversational AI platform that automates Odoo ERP workflows and lets ops/finance/supply-chain teams query ERP data in natural language. Implemented a multi-agent architecture (LangChain/LangGraph/CrewAI) with hybrid RAG over ERP schemas, deployed on Heroku/Vercel with production observability, cutting reporting time by ~80% while addressing hallucinations, latency, and schema complexity.”

“Regional Director of HR with experience supporting a large NYC unionized workforce and handling serious employee relations investigations. Has led people through major organizational transitions (new company structure/benefits/operating practices) via proactive employee communications and cross-department follow-ups, and has a track record of developing HR and payroll staff into regional leadership roles.”

“Growth marketing creative lead with experience at Starz and 3.5 years at mute6, spanning subscription acquisition and Shopify-based DTC/eCommerce. Drives Meta/TikTok/YouTube performance by pairing end-to-end creative production and UGC direction with data-led iteration (CTR/CPA/ROAS), including fatigue diagnosis and rapid refreshes.”

“Enterprise customer success/implementation leader focused on AI-driven operational intelligence deployments in complex environments (e.g., large international airports). Has led end-to-end rollouts across 1200+ camera feeds and multiple airport systems, driving adoption stabilization within 90 days, influencing product roadmap (configurable alerts), and partnering with Sales to expand from initial congestion monitoring into additional operational modules.”

“AAA sports game QA tester who supported full development through launch and live updates, owning gameplay stability/regression risk. Experienced in triage-driven prioritization and in diagnosing complex crash issues (including thread synchronization) using evidence-backed Jira reports, then hardening coverage with stress/concurrency/soak and CI-integrated regression suites.”

“Game economy/progression designer who owned the end-to-end progression system for an idle auto-battler (“Non-Order”), including multi-currency sources/sinks, upgrade pricing curves, and meta-progression. Uses spreadsheet modeling plus playtest/telemetry-driven iteration to address pacing and agency issues (e.g., adding a minigame, click-to-damage, and player skill tree) to reduce progression friction and improve replayability.”

“Enterprise B2B Customer Success professional who owns complex SaaS accounts end-to-end (onboarding, adoption, renewal, and expansion) across hundreds of users and multiple departments. Demonstrated measurable adoption gains (40–60% advanced feature engagement), early renewal/expansion (120+ days ahead), and strong cross-functional execution to unblock SSO/integration issues while consolidating 20+ subscriptions into a single enterprise contract.”

“Application/security-focused customer-facing implementer who has secured multi-customer data aggregation apps using per-tenant isolation, short-lived/scoped tokens, and vault-based secrets management. Troubleshoots production issues via API gateway logs and performance tuning, and runs repeatable onboarding playbooks with strong customer-specific and cross-project documentation. Emphasizes AWS least-privilege IAM and secure agent deployment patterns, plus container scanning practices that catch vulnerabilities pre-production and build developer trust.”

“Data professional with ~4 years of experience, most recently at AIG (insurance), building ML/NLP systems for fraud detection and policy automation using transformers, CNNs, and clustering/anomaly detection. Also developed a RAG-based knowledge retrieval system, iterating across embedding models and moving to production based on precision and latency SLAs, then containerizing and deploying with SageMaker and CI/CD.”

“Dedicated engineer supporting the T-Mobile enterprise account at Gigamon, leading annual large-scale device upgrade initiatives (2000+ devices in 1–2 months) with an emphasis on zero production traffic disruption and strong stakeholder communication. Known for consistently high CSAT (4.8+) and for driving operational improvements in Salesforce that cut support Time to Close by 50%.”