Vetted Microsoft Excel Professionals

Brandon Kraus

Screened

Senior Game QA & Open-World Content Specialist in AAA and live-service titles

Lexington, KY17y exp

“Game QA specialist with experience across major studios and titles including EverQuest II expansions (tradeskill/content focus), Zynga Farmville (sole QA in a pod), and Rockstar (mission/scripting-related testing under NDA). Known for player-first exploratory testing and rigorous negative testing, plus building Excel-based tracking/automation to manage hundreds of items and producing high-quality bug reports with video/log evidence.”

Ishwari Mulay

Screened

Intern Data Scientist specializing in analytics and healthcare data

Philadelphia, PA1y exp

“Analytics candidate with AstraZeneca internship experience building scalable SQL and Python workflows on large healthcare datasets. Stands out for combining data engineering, reporting automation, and applied machine learning— including an end-to-end patient no-show prediction project that achieved 76.8% accuracy and reduced no-shows by 18%.”

“Clinical research coordinator pivoting toward outbound sales/SDR work, with hands-on experience running multi-channel participant recruitment campaigns. Stands out for using census data, internal databases, social media, and even bus stop ad targeting to materially improve enrollment in a highly specific clinical study population.”

“Candidate brings a blend of consulting and brand-side marketing sourcing experience from Deloitte Consulting and L’Oreal. They stand out for using deep research, cost analysis, and one-on-one stakeholder engagement to drive agency negotiations, support a $4M annual savings target, and win adoption of new project tools like Smartsheet in change-resistant client environments.”

PREETHI LAKSHMI SRI PRIYA BOLLA

Screened

Mid-level Compensation & Payroll Analyst specializing in HRIS and workforce analytics

USA4y exp

“Payroll and compensation professional with hands-on experience supporting end-to-end U.S. payroll and annual merit/bonus cycles, including work at Visa. Stands out for catching integration and compensation data issues before payroll deadlines, reconciling HRIS/payroll/finance discrepancies, and building Excel- and control-based processes that improve accuracy, equity, and compliance.”

“Backend engineer with production experience on an AWS Lambda-based payment service (manually deployed) and hands-on modernization work using parallel-run + diffing to prove parity before cutover. Has practical production troubleshooting experience for batch/pipeline incidents using monitoring/logs and emphasizes idempotent rerunnable jobs for safe recovery; also improved GraphQL performance by refactoring overly broad queries.”

“Programmatic media specialist with deep hands-on experience running high-budget AWS/Amazon campaigns, including a $4MM side-by-side DSP bakeoff (DV360, The Trade Desk, Amazon DSP) focused on awareness and cost efficiency. Strong in CTV/OLV optimization and measurement, leveraging brand lift and attention studies, and known for disciplined testing frameworks and practical troubleshooting to restore performance.”

“Backend/ML systems engineer with Stripe payments experience who built an asynchronous processing upgrade handling millions of API requests, cutting peak latency ~20–25% while preserving strict financial consistency via idempotency-safe retries and robust validation/fallbacks. Also built scalable ETL pipelines for messy CSV/Excel/API data with strong observability (structured logging/monitoring) and reliability mechanisms.”

Shriya Bannikop

Screened

Mid-level Software Engineer specializing in cloud platforms, data engineering, and distributed systems

Seattle, WA5y exp

“Full-stack engineer who built and owned an AI-assisted job-matching dashboard in Next.js App Router/TypeScript, keeping LLM logic server-side and improving performance via deduplication, caching/revalidation, and streaming (35% fewer duplicate LLM calls; 40% faster first render). Also has strong data/backend chops: designed Postgres models and optimized queries at million-record scale (1.8s to 120ms) and built durable AWS multi-region telemetry workflows with idempotency, retries, and monitoring.”

Vishwas Kumar

Screened

Senior Google Ads Specialist focused on performance marketing and conversion optimization

Hyderabad, Telangana5y exp

“Paid media specialist focused on Google Ads, running segmented full-funnel structures across PMax, Search, Demand Gen, and remarketing. Uses Merchant Center custom labels, GA4-based funnel tracking, and Google Ads scripts/automation to monitor performance and react quickly; reports achieving ~6.5x conversion value on a client campaign and building backup campaigns to de-risk results.”

David Zeibert

Screened

Junior Development Analytics Analyst specializing in QSR growth and automation

Miami, FL3y exp

“Data-driven economy/incentives designer with experience across QSR brands (Popeyes and Burger King), spanning franchise development incentive systems and in-app game economies. Built live scorecards (Snowflake/SQL/Tableau) and regression-based sales forecasting models on thousands of restaurant records, and used app telemetry to tune progression loops and improve retention while aligning ops and business KPIs.”

“LLM/MLOps engineer who has shipped production systems for complaint intelligence and contact-center NLU, including LoRA/RLHF-tuned LLaMA models deployed on GKE with vLLM and Vertex AI batch pipelines to BigQuery. Demonstrates strong practical focus on hallucination control, data imbalance mitigation, and production monitoring (Langfuse) with regression testing and canary rollouts, plus experience orchestrating complex workflows with AWS Step Functions.”

“Global technology operations leader currently at WPP, managing teams across APAC, EMEA, LATAM, and North America. Has built large technology teams in India (Chennai and Bangalore) and managed product/product design teams in the US, and recently led a major org restructure shifting from a global to a regional operating model with change management.”

“Chief of Staff at the Kufel Group with a strong operator + investment/portfolio orientation, leading OKR rollout, real-time portfolio reporting, and AI workflow adoption in parallel. Built AI-enabled executive productivity systems (meeting transcription/summaries, prep briefs, scheduling optimization) and measured impact via an Executive Effectiveness Dashboard, citing a 40% drop in urgent escalations and 13% portfolio performance improvement.”

“ML/LLM engineer who has shipped a production transformer-based document understanding system on AWS, owning the full pipeline from domain fine-tuning to Dockerized CI/CD deployment. Demonstrates strong production rigor—latency optimization (distillation/quantization, async batching, autoscaling), orchestration with Airflow/Step Functions/Azure Data Factory, and monitoring/drift detection—plus experience translating ops stakeholder needs into adopted AI automation via dashboards.”

“Enterprise SaaS implementation specialist (Sprinklr) who owns complex rollouts end-to-end—configuration, data migration, UAT, global enablement—and drove a 10/10 Customer Happiness Index plus renewal/expansion through strong adoption and analytics automation. Also has product experience from a TikTok PM internship leading an accessibility initiative (Camera AI for screen reader creators) coordinating engineering, design, legal, and QA with WCAG/ADA/EAA compliance considerations.”

“Retail buyer/category manager with experience rebuilding underperforming programs end-to-end through data-driven assortment strategy, supplier selection, and product/value engineering. Led a pet beds turnaround (70% sell-through in week one; category mix from ~20% to ~35% and primary IMU driver) and previously drove a licensed sports vendor at Amazon from a $550K projection to $1.7M by re-framing assortment planning around turn and product-type insights.”

Yash Nileshkumar Mirani

Screened

Mid-level Software Engineer specializing in AI agents, data pipelines, and cloud systems

Sunnyvale, CA5y exp

“Generalist software engineer with recent contract work at Vertex Pharmaceuticals shipping a desktop-integrated RAG assistant for lab scientists (2000+ pages ingested; ~40% support-ticket reduction in pilot). Previously owned Python/AWS financial automation services at Amazon operating at multi-billion-dollar scale, with strong strengths in API design, observability, and database/performance tuning; also built a React/TypeScript AI contract analysis product (ContractsGuy).”

“Private equity fund internship experience sourcing and outbounding to founders (notably B2B SaaS and healthcare), using AI-personalized cold emails to generate responses and progress conversations through NDA, financials review, and detailed modeling. Demonstrates structured discovery and diligence rigor, including pushing for segment-level data to enable long-term cash flow modeling and making pass/continue decisions against investment criteria.”

“Analytics-focused candidate with hands-on experience building SQL reporting tables from messy transactional and master data, plus Python workflows that automate monthly analysis and data checks. They appear strongest in KPI/reporting ownership, metric standardization, and stakeholder alignment, with examples of improving reporting consistency, surfacing issues earlier, and reducing manual reconciliation effort.”

Hargun Kaur Kohli

Screened

Intern Business Analyst specializing in analytics and marketing insights

California, USA1y exp

“Graduate-school capstone and project work centered on analytics, including healthcare shipment/pharmacy data, customer recommendation modeling, and a gaming uplift modeling project. Stands out for framing analytics around business impact—using uplift, repeat purchase, and profit-oriented metrics rather than just accuracy.”

“Performance marketer from Unilever with hands-on ownership of a sizable multi-platform paid media portfolio across Google, Meta, TikTok, and YouTube. Stands out for combining rigorous experimentation, LTV-based audience segmentation, and incrementality testing to improve ROAS, lower CPA, and restore growth when campaigns plateau.”

Mustafa Ali

Screened

Mid-level Software Engineer specializing in backend systems and AI

Boston, MA4y exp

“Founding/early backend engineer at ATICA Global who built the company's core hotel property management platform from an empty repo into a production system used by 500+ hotel clients. Combines strong backend architecture with pragmatic product execution, including a dynamic pricing engine that increased partner revenue 17% YoY and an AI-powered sentiment pipeline processing 200K+ reviews/month.”

“Operations- and systems-minded candidate with experience improving hospital billing workflows and automating a campus package pickup/drop-off system that streamlined operations for 400 students and 20 student workers. While they do not have direct outbound prospecting experience, they articulated a thoughtful, research-driven framework for building an SDR pipeline engine from scratch.”