Vetted Microsoft Excel Professionals

“Lead YouTube editor running an end-to-end longform workflow for DIY/entertainment/ads, leveraging a tightly integrated Adobe Creative Suite pipeline (Premiere + AE/PS/AI) for graphics and motion. Standardized an editing department by authoring SOPs and building After Effects template systems, drawing on prior ESPN experience. Currently supports two channels totaling ~550k subscribers, including a main channel with 48M views in the last year.”

“HRBP with experience supporting distributed teams across the US and partnering closely with Product, Analytics, and Sales leadership on performance management, employee relations, and lifecycle changes. Notably drove a parental leave policy update for revenue-generating teams by analyzing operational impact, defining clearer parameters, and securing SVP Talent buy-in, and has led leaders through restructuring and role realignment with transparent change communications.”

“Built a production GenAI-powered analytics assistant to reduce reliance on data analysts by enabling natural-language Q&A over Databricks/Power BI dashboards, backed by vector search (Pinecone/Milvus) and a Neo4j knowledge graph, including multimodal support via OpenAI Vision. Demonstrates strong real-world LLM reliability engineering with strict RAG, LangGraph multi-step verification, and Guardrails/custom validators, plus broad orchestration and production monitoring experience (Airflow, ADF, Step Functions, Kubernetes, Prometheus/CloudWatch).”

“Supply chain/procurement professional (Maersk) who leads end-to-end freight sourcing initiatives using heavy analytics (SAP/SQL/Python/Excel) to drive measurable savings. Known for automating sourcing workflows (60% faster bid evaluation) and building Power BI dashboards to monitor contract compliance and supplier performance post-implementation.”

“Sales/business development candidate with hands-on outbound experience targeting Amazon FBA sellers, combining cold calling and LinkedIn outreach with event-based lead generation at seller conferences. Uses AI tools (Notion, Gemini, ChatGPT) and company research to tailor scripts and messaging based on a prospect’s growth stage and needs, with a focus on SMEs seeking Amazon reimbursement services.”

“Game QA professional who shipped AAA (Overwatch 2) as quality feature owner for Campaign missions, owning high-risk areas like mission progression stability and preventing soft-lock/state desync issues. Also shipped Stormgate and caught a critical Steam achievement integration failure near RC by recreating the issue in an anti-cheat, live-mirroring environment and driving it through fix + regression verification.”

“Business Development Officer (Sales Development) with SaaS experience across healthcare and financial industries, combining multi-channel outbound (calls/email/video/LinkedIn) with structured BANTR qualification. Reported strong activity-to-meeting conversion metrics and meeting-to-closed-won outcomes at Coface, and helped advance a complex 7-month deal (Okapi AI) from first touch to signature while maintaining rigorous Salesforce hygiene.”

“Sourcing/procurement professional with Accenture experience supporting telecom infrastructure expansion, owning RFQs through delivery and managing 12+ vendors. Known for strong supplier performance management (scorecards, KPIs, corrective actions) delivering ~97% on-time material delivery while cutting expedited freight 13% and avoiding ~AUD 500K in delay costs; also brings supplier onboarding and capability/capacity assessment experience from Nestlé and Accenture.”

“Worked on Sophia the humanoid robot, building production animation pipelines and enhancing human-robot interaction via perception and behavior orchestration. Experienced in stabilizing noisy perception-driven state transitions and designing smooth, user-centered behavioral flows, collaborating closely with artists, animators, and experience designers to translate creative intent into measurable system behavior.”

“Robotics researcher/team lead from ASU’s Robotics and Intelligent Systems Lab who rebuilt a failing soft-robotics test bench into a modular 8-Arduino, ROS 2/Python-controlled data-collection system, doubling sampling performance and dramatically reducing downtime. Currently doing thesis work on physics-informed neural network (PIRNN/RNN) modeling of a pneumatically actuated soft robotic arm using experimentally collected trajectory/pressure data.”

“Growth creative/performance marketer currently at Walmart who led Walmart+ checkout announcement/enhancement campaigns end-to-end, combining user behavior analysis, customer feedback, and multi-variant A/B testing. Reported measurable funnel and revenue-adjacent lifts (faster checkout, nearly doubled first-time completion, +18% repeat visits, +$1.2 basket size) and uses Power BI plus platform analytics (Meta/TikTok/YouTube) to drive rapid, modular creative iteration with creators and editors.”

“Paid media performance marketer with hands-on ownership of $100K+/month Meta Ads spend for a luxury jewelry brand, using creative-first testing and funnel-building tactics (e.g., giveaways) to expand retargeting pools and drive attributed sales. Also experienced structuring full-funnel systems across Meta/TikTok/Google and diagnosing Performance Max declines by refining audience signals and bidding to improve lead quality and CPL.”

“AI/ML practitioner with Northern Trust experience who has shipped production LLM systems (internal support assistant) using RAG, vector databases, orchestration (LangChain/custom pipelines), and rigorous monitoring/feedback loops. Also built AI-driven fraud detection/risk monitoring solutions in a regulated financial environment, emphasizing explainability (SHAP), audit readiness, and stakeholder trust through dashboards and clear communication.”

“AI Product Manager who also operates as a product marketer/CRM lifecycle lead, focused on behavior-driven onboarding and retention. Has delivered measurable growth through segmentation, multi-channel lifecycle programs, and experimentation (e.g., activation +23%, TTFV -30%, retention +14%), and led a cross-functional chatbot integration that improved course completion (+23%) while reducing refunds (-15%).”

“At Evoke Tech, built a production LLM "Testbench" to quickly compare LLMs/embedding models and RAG strategies (semantic, hybrid BM25, re-ranking, HyDE, query expansion) to select optimal architectures for different client needs. Also developed a multi-agent, multimodal (voice/text) RAG system for live catalog retrieval and safe product recommendations using LangGraph/LangChain with LangSmith monitoring, and regularly translated PM/UX goals into concrete agent behaviors via demos and flowcharts.”

“Procurement/sourcing professional with deep end-to-end ownership of recurring program supply and services sourcing (materials plus logistics/fulfillment), focused on reducing unit and landed costs while improving OTIF and tightening SAP purchasing controls. Demonstrates structured supplier vetting (capability, capacity, execution reliability), strong negotiation on commercial terms and SLAs, and proactive mitigation of international trade/freight/duty volatility through risk-adjusted sourcing strategies.”

“HR/People operations leader with global scale experience supporting a 600+ person customer success org across US/EMEA/APAC, including 500+ compensation reviews and employee relations/investigations. Led a major transformation moving 75 employees into sales-compensated roles to improve retention and customer outcomes, and partnered with senior leaders on pay equity/eligibility work resulting in $34K in retro bilingual premium payments plus leader training for consistent application.”

“Frontend-focused engineer with experience building and optimizing React-based dashboards and reusable component libraries in a multi-team, internal open-source-style environment at Merck (ClearSight Forecasting Dashboard). Also handled production user issues on a live streaming platform (GameSee.tv) and built a financial application from scratch at Manipal Business Solutions, owning backend services, middle-tier APIs, and third-party integrations.”

“Procurement/sourcing professional with hands-on experience selecting and rolling out an analytics dashboard vendor end-to-end—using stakeholder discovery, POCs, and a scoring matrix—then negotiating a ~26% cost reduction and waiving implementation fees. Also demonstrates strong trade compliance instincts by catching and correcting an incorrect tariff code that would have increased duties ~18%, and uses structured milestone/risk tracking (RAG) to keep OTD and approvals on track.”

“Built and deployed an LLM-powered analytics assistant enabling business users to ask questions in plain English and receive validated Spark SQL executed in Databricks, with a Streamlit/Flask UI. Addressed strict client schema-privacy constraints by implementing a RAG strategy and ultimately leveraging AWS Bedrock and fine-tuned reference docs. Also has production ML pipeline experience using Docker + Airflow and AWS (S3/ECS/EC2) for financial classification models.”

“Built and shipped 'PetPulse,' a production AI pet-health note system that records voice notes, transcribes them, converts transcripts into structured symptom/event data, and supports grounded Q&A over a user’s notes and vet PDFs. Demonstrates full-stack LLM product execution (FastAPI + GPT-4 + Firebase), with concrete reliability/performance work (async endpoints, caching, RAG/embeddings, function calling) and user-centered iteration with a non-technical product stakeholder.”

“Built and deployed a secure, production LLM-based document summarization and risk-highlighting tool for financial auditors, running inside a private Azure environment to protect confidential data. Focused on reliability (hallucination mitigation via retrieval-based prompts and source citations) and validated performance through comparisons to auditor summaries plus a user pilot, cutting review time by about half.”

“Built and owned an end-to-end Seat Allocation & Management System at Accenture, replacing a legacy process with a scalable web app used across teams. Deep focus on reliability under concurrency (transactions + unique constraints + idempotent APIs) and on Postgres performance tuning (composite indexes, EXPLAIN ANALYZE), plus post-launch production support and monitoring.”

“Machine learning/NLP engineer who built a production-oriented retrieval-based AI system at Morgan Stanley for healthcare use cases, combining RAG over unstructured patient records with deep-learning medical image segmentation (U-Net/Mask R-CNN). Strong in end-to-end pipelines and MLOps (Spark/MongoDB, AWS SageMaker, CI/CD, monitoring, automated retraining) and in entity resolution/data quality validation for noisy clinical data.”