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Vetted Microsoft Excel Professionals

Pre-screened and vetted.

Microsoft ExcelSQLPythonTableauJiraPower BI
MW

Matthew Waldinger

Director-level Creative Designer specializing in brand, UI/UX, and multimedia production

Chicago, IL5y exp
AbbVieUniversity of Illinois Urbana-Champaign
Adobe After EffectsAdobe IllustratorAdobe PhotoshopAdobe Premiere ProCampaign ManagementData Analysis+40
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RC

Rodolfo Capdevilla

Senior Physicist and Data Scientist specializing in machine learning and complex systems

Dallas, TX7y exp
Chromatic Lighting, LLCUniversity of Notre Dame
PythonSQLC++Microsoft ExcelMachine LearningProject Management+26
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IA

Irfan Ali

Senior Data Scientist specializing in marketing analytics, attribution, and revenue forecasting

Remote, USA7y exp
Farmers InsuranceUniversity of São Paulo
Predictive ModelingMachine LearningDeep LearningFeature EngineeringLSTMLangChain+99
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NR

Nishant Rana

Mid-level Product Manager specializing in AI-driven product strategy and analytics

USA3y exp
Vitalise VenturesDuke University
A/B TestingAgileAsanaChatGPTConfluenceData Visualization+49
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CJ

Catharine Jones

Senior Virtual Production & VR Technical Designer specializing in mocap and Unreal Engine

Tualatin, OR8y exp
Lam ResearchUSC
Adobe After EffectsAdobe PhotoshopAgileAWSBlenderC#+64
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JT

Jackson Tam

Intern Data & Finance Analyst specializing in SQL/Python automation and reporting

San Francisco, CA1y exp
KQEDUCLA
API IntegrationC++CRMData AnalysisData PipelinesData Visualization+25
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VS

VRUNDA SANGHVI

Senior Product & Operations Analytics Leader specializing in enterprise SaaS

San Jose, CA9y exp
EYUniversity at Buffalo
SQLPythonData ModelingReportingData QualityRoot Cause Analysis+50
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ND

Noah Dcruz

Junior Research Data Scientist specializing in healthcare analytics and real-world evidence

Boston, MA2y exp
Mass General BrighamNortheastern University
PythonNumPyPandasMatplotlibScikit-learnSciPy+67
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GB

Gowrishankar Balakrishnan

Senior Java Full-Stack Developer specializing in enterprise web apps and microservices

Charlotte, NC15y exp
Bank of America
JavaJDBCJSPSpring BootSpring MVCSpring Security+155
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IK

Islombek Kobiljonov

Senior Data Engineer specializing in Azure, Databricks, and BI/ETL platforms

Orlando, FL9y exp
EY
AgileApache KafkaApache SparkAWS GlueAzure Blob StorageAzure Data Factory+161
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NM

Naveen Malavath

Mid-level Data Scientist / ML Engineer specializing in LLMs and predictive analytics

4y exp
New York Life
PythonSQLRBashGitGitHub+108
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CP

Chelsea Provencio

Director-level Paid Social & Search Strategist specializing in entertainment and e-commerce growth

15y exp
Mango Films
Content StrategyStakeholder ManagementCampaign ManagementA/B TestingData VisualizationMeta Ads+52
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PV

Pavani Vankayala

Senior RPA Developer/Analyst specializing in UiPath automation and enterprise integrations

14y exp
Disney
Change ManagementMentoringCode ReviewsPerformance TestingTest Case DesignAPI Integration+73
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IH

Ian Herbst

Screened ReferencesStrong rec.

Executive Operations Leader / Chief of Staff supporting federal, defense, and museum leadership

Washington, DC20y exp
Smithsonian National Museum of Natural HistoryStrayer University

“Senior executive operations leader with experience supporting top leadership at the Smithsonian Natural History Museum and the Defense Health Agency. Built executive-facing tracking systems (Excel/SharePoint), implemented meeting-time standards (25/50), and led large-scale initiatives including multi-million dollar exhibits and a 25,000-person keynote event, with deep discretion from long-term military security clearance.”

Strategic planningStakeholder managementVendor managementBudgetingProcess improvementReporting+81
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CF

Christina Flores

Screened ReferencesStrong rec.

Director-level Executive Operations & Administrative Leader in government, nonprofit, and private office settings

New York, NY14y exp
HillspireCalifornia State University, Channel Islands

“Executive operations/project leader who managed cross-entity priority initiatives for Eric Schmidt’s family office, driving alignment through structured reporting and dashboards. Led a board-level digital transformation at ACC, moving a 14-member Board of Trustees from paper processes to board software, and brings high-discretion experience supporting Senator Warner.”

BudgetingOnboardingOperations managementProcess improvementCross-functional collaborationProject management+106
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VD

Vaishnavi Dangety

Screened ReferencesStrong rec.

Senior Talent Acquisition Operations leader specializing in scalable global recruiting programs

Dallas, TX13y exp
FeujiUniversity of Mumbai

“Recruiting Operations leader who has managed 6–12 person teams and owned the full recruiting ops lifecycle, including ATS governance, reporting, capacity planning, and vendor coordination. Notably redesigned interview scheduling/feedback workflows to cut time-to-fill 25–30% for priority technical roles, reduce candidate drop-off ~20%, and boost recruiter load capacity 15–20% without sacrificing quality; also led an end-to-end CPAL ATS implementation reducing manual scheduling effort by ~40%.”

OnboardingWorkforce PlanningForecastingProgram ManagementChange ManagementVendor Management+112
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EN

Emmanuel Ngalima

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in geospatial AI and cloud security automation

San Ramon, CA5y exp
ChevronUC Merced

“Cloud engineer and cloud OS SME (Chevron) who productionized large-scale security remediation—using Tanium and Ansible to address CIS benchmark noncompliance across 5,000+ servers with robust logging and RCA handoffs. Also drives adoption of a geospatial AI refinery inspection product by consolidating siloed imagery into an enterprise geospatial database, and presents internally on agentic/LLM tooling (LangChain/LangGraph, LangSmith observability).”

PythonNode.jsTypeScriptFastAPIREST APIsPostgreSQL+107
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MY

Monique Youmans

Screened ReferencesStrong rec.

Senior Talent Operations leader specializing in recruiting workflows and people systems

Dallas, TX12y exp
GEICOAmerican International College

“Recruiting/Talent Operations leader who managed 6–12 person teams across two office locations and drove measurable process improvements. Standardized onboarding (cut ramp time by 2–3 weeks) and redesigned interview scheduling to move candidates forward within 24–48 hours, while leveraging Workday/Lever reporting and leading a GoodTime rollout with HR/IT/HRIS.”

Team LeadershipChange ManagementPerformance ManagementProcess ImprovementRoot-Cause AnalysisCustomer Service+98
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BH

Bryan Holland

Screened ReferencesStrong rec.

Executive AI Product & Controls Engineering Leader specializing in agentic video editing and EV systems

SF Bay Area, CA11y exp
MAGICSEVEN AIUniversity of Michigan

“Startup builder (MagicSeven) who designed and implemented a browser-based, agentic video editor end-to-end, including an AWS event-driven multimodal LLM “indexing” pipeline and an orchestration LLM agent for searching and manipulating footage. Demonstrates deep video file/codec knowledge plus practical production hardening of LLM workflows (format validation, plan/execute, S3-based state for debuggability).”

AWSPythonTypeScriptReactChatGPTProduct Management+118
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RR

Rishika Reddy

Mid-level Data Scientist specializing in financial ML, NLP, and MLOps

San Diego, CA5y exp
Morgan StanleySan Diego State University
A/B TestingAgileAmazon S3Anomaly DetectionApache AirflowApache Kafka+135
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JF

Joel Franklin Stalin Vijayakumar

Mid-level AI/ML Software Engineer specializing in Generative AI and NLP

Remote5y exp
EmerjenceBoston University
Generative AIDeep LearningMachine LearningComputer VisionArtificial IntelligenceData Analysis+103
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VV

Vaishnavi Veerkumar

Screened ReferencesStrong rec.

Mid-level AI Engineer specializing in GenAI and RAG systems

Boston, MA4y exp
VizitNortheastern University

“AI engineer who built a production e-commerce system that analyzes product images alongside sales and demographic data to generate actionable creative recommendations, now used by 20+ clients. Also built orchestrated document/agent pipelines (Airflow, LangGraph) including a compliance drift detector auditing 401 compliance documents, with an emphasis on traceability, logging, and production integration.”

AgileAmazon EC2Amazon S3Apache AirflowData EngineeringDocker+137
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