Vetted Microsoft Excel Professionals

Pre-screened and vetted.

MM

Madhu Moutam

Screened

Mid-level Supply Chain Analyst specializing in logistics optimization and planning analytics

USA (Remote)4y exp
MaerskConcordia University

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.

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AK

Ayaan Katoch

Screened

Junior Business & Operations Analyst specializing in energy and e-commerce growth

New Delhi, India2y exp
SAEL Industries Ltd.York University

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.

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KS

Kurt Servito

Screened

Senior QA Analyst specializing in AAA and indie game testing across PC and console

12y exp
Frost Giant StudiosChino Hills High School

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.

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RK

Senior Business Development Executive specializing in FinTech, credit risk, and enterprise sales

Remote16y exp
CofaceGeorgia State University

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.

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MK

Mahima Korad

Screened

Mid-level Supply Chain Analyst specializing in planning, procurement, and distribution operations

Santa Clara, CA5y exp
HD SupplySan José State University

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.

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ET

Edwin Tse

Screened

Junior Data Engineer specializing in BI, governed metrics, and workflow automation

Berkeley, CA3y exp
EnvoyXUC San Diego

Built and shipped LLM/OCR/NLP-driven document-intelligence workflows in operational environments (EnvoyX and UPS), emphasizing production readiness via explicit state-machine orchestration, confidence gates, and human-in-the-loop review. Demonstrated strong business impact in customs brokerage/document ingestion: 50% fewer customs rejects, 30% higher throughput, SLA adherence improved from 71% to 96%, and platform reliability reaching 99.6% with 78% fewer bad-data incidents.

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AP

Mid-level Data Engineer specializing in cloud data pipelines and enterprise data platforms

4y exp
ConnectiveRxUniversity of Pennsylvania

Data engineer/backend engineer who owns large-scale, real-time event pipelines on AWS end-to-end, including a petabyte-scale CDC ingestion flow from multiple Postgres DBs into Redshift. Re-architected a legacy DynamoDB+S3 approach into a Delta Lake + DuckDB/PyArrow-compatible design, improving performance dramatically (e.g., ~600s to ~10s for 1k records) and increasing reliability at high file volumes.

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Anvith Reddy Dodda - Mid-level AI Engineer specializing in GenAI, NLP, and MLOps in Remote, USA

Mid-level AI Engineer specializing in GenAI, NLP, and MLOps

Remote, USA3y exp
PayPalUniversity of Central Missouri

LLM/agentic-systems engineer with PayPal experience hardening an LLM-powered fraud support assistant from prototype to production, focusing on low-latency distributed architecture, rigorous evaluation/testing, and security/compliance. Comfortable in customer-facing and GTM contexts—runs technical demos/workshops, builds tailored pilots, and aligns sales/CS with engineering to close deals and drive adoption.

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Stephen Coppola - Senior Video Editor & Motion Graphics Lead specializing in broadcast and digital content in Milford, CT

Senior Video Editor & Motion Graphics Lead specializing in broadcast and digital content

Milford, CT19y exp
FCP EuroSacred Heart University

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.

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Benjamin Hudnut - Junior Live Events & Music Operations professional specializing in booking, touring, and community events in Los Angeles, CA

Junior Live Events & Music Operations professional specializing in booking, touring, and community events

Los Angeles, CA4y exp
Live NationUCLA

Founder/director of the music and event production company Tuned In, personally driving outbound BD to book underground LA talent and produce 25 events, including a major Lunar New Year collaboration with Alice Longyu Gao. Also ran multi-channel voter/community outreach for the Frankie Carrillo campaign (door knocking, 1,000+ SMS) and built automation tools (Apple widget; AI image-to-CSV workflow at Live Nation) to improve operational efficiency.

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MG

Mishika Garg

Screened

Junior Data Analyst specializing in business analytics and BI

Bengaluru, India3y exp
DeloitteMichigan State University

Analytics-focused candidate with hands-on experience building SQL data pipelines and Python-based forecasting workflows for inventory and planning use cases. They emphasize data quality, stakeholder trust, and operational adoption, citing a 19% forecast accuracy improvement and strong experience translating analytics into dashboard-ready business metrics.

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Bhaskar Reddy - Junior Business & Data Analyst specializing in analytics and BI in Fairfield, CT

Bhaskar Reddy

Screened

Junior Business & Data Analyst specializing in analytics and BI

Fairfield, CT2y exp
Sacred Heart UniversitySacred Heart University

Analytics-focused candidate with hands-on experience building SQL and Python workflows that turn messy multi-source data into reporting assets and dashboards. They show strong practical judgment around data quality, table grain, validation, and performance tuning, and they described an education-focused engagement project that reportedly improved course completion by 15% through targeted interventions and metric-driven stakeholder alignment.

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ZS

Junior Machine Learning Engineer specializing in AI, computer vision, and data systems

Los Angeles, CA2y exp
WiDeS Lab, USCUSC

Built and owned an end-to-end AV operations automation and dashboarding platform for USC event operations, used daily to coordinate hundreds of live events. Delivered a React/TypeScript full-stack system integrating Smartsheet APIs with strong reliability practices (typed contracts, validation/fallbacks, safe rollouts) and experience with queue-based microservice patterns (idempotency, retries, DLQs, monitoring).

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SG

Shrey Gandhi

Screened

Mid-level Business Analyst specializing in BI, reporting, and data analytics

Jersey City, NJ3y exp
Johnson & JohnsonStevens Institute of Technology

Finance data and reporting professional with PwC experience who bridges accounting and technology, especially around GL-related reconciliations, reporting accuracy, and close support. While not a direct PeopleSoft GL owner, they bring strong SQL-driven troubleshooting, ETL/data mapping remediation, and process automation experience that helped shorten close cycles and improve audit readiness.

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HL

Haolin Li

Screened

Entry-level Data Analyst specializing in marketing analytics and business intelligence

Los Angeles, CA1y exp
Helios & PartnersUSC

CRM/lifecycle marketer with hands-on ownership of high-volume, multi-channel programs across email, SMS, and push, including Braze journey design, QA, deployment, and post-campaign analysis. Stands out for combining strong campaign operations with incrementality measurement and experimentation, including a 20% conversion improvement from journey optimization and 12% incremental revenue lift identified through holdout-based analysis.

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XX

Xiaoyi Xiong

Screened

Junior Business Analyst specializing in pricing and data analytics

Lincolnshire, IL2y exp
Camping WorldNorthwestern University

Analytics candidate with hands-on experience turning messy pricing and competitor data into reporting-ready SQL tables, plus building Python automation workflows that replaced manual processing across 40,000 images at roughly 89% accuracy. They also led a price elasticity analysis that informed differentiated pricing strategies and supported reporting through Power BI dashboards.

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ES

Senior Compensation Analyst specializing in financial services

Colombia24y exp
CitibankEAN University

Compensation professional with hands-on experience supporting complex year-end salary, bonus, and equity payment processes from the comp side of payroll. Built an Excel-based modeling tool to implement a new target bonus structure for a Technology population, and shows strong strength in reconciling incentive budgets, handling late-cycle pay exceptions, and putting approval controls around high-risk compensation scenarios.

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VR

Mid-level Data Analyst specializing in healthcare and financial analytics

Texas, USA4y exp
DeloitteUniversity of Texas at Dallas

Analytics professional with Deloitte experience building SQL and Python workflows for revenue, pipeline, and opportunity analytics at scale. They combine strong data engineering and modeling skills with business-facing delivery, citing impacts including 8-10% conversion improvement, ~$700K revenue protected, 12% YoY project acquisition growth, and 15% retention improvement in financial services.

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Briant Trainer - Principal cloud consultant specializing in ERP, public sector, and enterprise implementations in California, USA

Principal cloud consultant specializing in ERP, public sector, and enterprise implementations

California, USA25y exp
OracleEmporia State University

Senior cloud/functional consultant with deep experience implementing Oracle and Infor solutions for large public-sector clients, especially permitting, licensing, and EAM-related workflows. Stands out for owning full lifecycle delivery, translating highly regulated requirements into complex configured workflows, and running large-scale UAT/test management across multi-module enterprise programs.

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CL

Charlene Lu

Screened

Mid-level marketing communications specialist specializing in tech and brand strategy

Taipei, Taiwan5y exp
ShuttleUCLA

B2B marketer with experience owning go-to-market strategy for an AI PC line at a global computer manufacturer, where they partnered closely with product and sales teams to turn technical features into region-specific messaging and drove 7% monthly revenue growth. Also brings hands-on experience in distributor targeting, trade show promotion, and B2B event email marketing with A/B-tested messaging.

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BY

Brina Yang

Screened

Entry-level business analyst specializing in finance, consulting, and business development

New York, NY1y exp
ASCENDtialsNYU

Early-career candidate with startup and nonprofit go-to-market experience spanning retailer matching, vendor acquisition, and external outreach. At a B2B SaaS startup, they evaluated 2000+ retailers by rebuilding fit criteria for each client, and at ASCENDtials they built a vendor outreach system from scratch that produced a 30+ vendor portfolio.

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JW

jing wang

Screened

Mid-level Software Engineer specializing in enterprise AI for professional services

Union City, NJ5y exp
DeloitteStevens Institute of Technology

Deloitte technical implementation lead who functioned like a pre-sales/solutions engineer for ABBYY's intelligent document processing within the Argus GenAI platform. They supported enterprise-scale rollouts across 10+ countries, tailored deployments for local market needs, and combined integration, compliance, and Python automation work to deliver 95%+ extraction accuracy.

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JY

Jason Young

Screened

Executive Program Manager specializing in financial services and healthcare technology

Pittsburgh, PA18y exp
BNY MellonOhio Dominican University

Seasoned project/program leader with 24 years of experience managing multiple concurrent enterprise software, infrastructure, and operational initiatives, often with portfolios exceeding $30M. Brings end-to-end ownership, strong governance discipline, and hands-on vendor and executive stakeholder management, including crisis-response leadership during a conflict-related facilities and systems security initiative.

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AB

Mid-level strategy and operations leader specializing in growth, finance, and transformation

Chicago, IL5y exp
KemperDePaul University

Startup strategy and operations leader with outsized ownership at XP Health during a hypergrowth phase, helping scale the business from $6M to $35M ARR in roughly a year. Particularly compelling for roles needing a high-trust cross-functional operator who can tackle messy, unowned problems, from pricing and deal desk to program redesigns that improve both margin and customer experience.

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