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Vetted Data Analysis Professionals

Pre-screened and vetted.

Data AnalysisPythonSQLGitMicrosoft ExcelAWS
SL

Samuel Luther

Screened

Senior Software Engineer specializing in full-stack systems, data pipelines, and ML

Seattle, WA8y exp
ExponentGeorgia Tech

“Built and productionized an autonomous research agent (AutoGPT) in a Docker/Kubernetes environment with Pinecone-based long-term memory and custom Python tools for analysis, visualization, and report drafting. Implemented layered guardrails (prompt templates, automated validation, self-critique loops, and monitoring) and achieved ~25% reduction in manual report generation time while scaling the workflow to support multiple concurrent users.”

PythonC#JavaJavaScriptTypeScriptGo+116
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HG

Hardik Goyal

Screened

Senior Integration Developer specializing in enterprise automation and data integration

United States4y exp
Vail ResortsPurdue University

“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.”

C#PythonC++JavaCMySQL+79
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NT

Natalie Tsang

Screened

Intern Mechatronics/Robotics Software Engineer specializing in ADAS and ROS2

Waterloo, ON1y exp
Harbinger MotorsUniversity of Waterloo

“Robotics software engineer with experience spanning embedded C++ control on microcontrollers and ROS/ROS2 production systems in automotive and marine robotics contexts (Harbinger Motors, Impossible Metals). Has deep hands-on experience debugging real-time image pipelines (DDS/QoS tuning, HIL stress testing) and building large automated test suites (1200+ tests) plus CI/CD (Dockerized Playwright tests on Jenkins).”

AlgorithmsBashCC++Computer VisionContainerization+85
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MR

Molly Rhodes

Screened

Director-level Talent Acquisition leader specializing in global TA operations, DEI, and employer branding

Dallas, TX18y exp
Third BridgeUniversity of Texas at Dallas

“Talent Acquisition Operations leader who has managed teams up to 10 and owns end-to-end TA ops areas (strategy, selection, employer branding, and process/tech optimization). Recently standardized fragmented hiring by moving to a one-funnel approach with competency weighting and recruiter triage, already improving time-to-fill. Led Gem implementation/integration and uses ATS analytics (SmartRecruiters) plus post-hire performance data to validate sourcing and selection quality.”

RecruitingOnboardingProcess ImprovementComplianceData AnalysisDashboarding+84
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BG

Barry Garfinkle

Screened

Intern Biomedical Engineering student specializing in neuroscience and EEG data analysis

Santa Cruz, CA0y exp
Science Internship ProgramDuke University

“Operations/process-focused leader with hands-on manufacturing and quality mindset: improved product stability by preventing oxidation via inert gas and oxygen monitoring, and implemented sensor-based automation to maintain conditions without manual intervention. Uses time studies and benchmarking to redesign workflows (reported ~60% labor reduction per batch) and trains teams on GMP/regulatory and contamination-control practices using practical demonstrations.”

MATLABData analysisEEG data analysisNeuroscience researchBiomedical engineeringResearch presentation+33
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DG

Dylan Grassl

Screened

Senior Client Success & Events Leader specializing in media and live entertainment partnerships

Chicago, IL15y exp
YondrDePaul University

“Sales development and event-sales professional currently at Yondr, blending inbound lead management with outbound prospecting to drive 8–10 meetings/week and ~50% inbound conversion. Helped lift department revenue 35% and built new sponsorship guidelines that secured strategic partnerships and referral-driven growth. Has experience supporting higher-value healthcare-sector deals ($125K–$750K) and managing longer sales cycles end-to-end.”

Account ManagementCross-Functional LeadershipProject ManagementGoogle WorkspaceMicrosoft OfficeBusiness Development+56
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BA

Bassam Amrou

Screened

Director-level Digital Solutions & IT Transformation Leader specializing in enterprise innovation

Plano, TX12y exp
NTT DATACalifornia State University, Fresno

“Entrepreneurial operator with experience creating business plans and securing venture capital to accelerate a go-to-market strategy. Demonstrates a structured approach to new ventures: framing opportunities, validating/de-risking via market/competitive/external analysis and financial modeling, then building governance, sponsorship, and an execution plan with the right team.”

AutomationContract NegotiationCost OptimizationData AnalysisProject ManagementStrategic Planning+62
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AR

Akanksha Roy

Screened

Senior Digital Marketing Strategist specializing in performance growth and client success

Remote, Canada6y exp
Fourth FrontierCentennial College

“Marketing and growth professional with experience across conference sponsorships and B2B event GTM, including sourcing and closing major sponsors (Google, Microsoft, Zenpact) and emceeing a 2-day conference. Strong in performance marketing and CRO—built BOF landing experiences and tracking to drive 150 conversions at $120 CAC/4x ROAS, and used GA4 + heatmaps to optimize product pages and reduce bounce.”

Google AdsStakeholder ManagementCross-functional CollaborationData AnalysisNegotiationGoogle Analytics+50
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RP

Raj Patel

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native web applications

Canton, Michigan3y exp
DiscoverUniversity of Michigan

“Backend engineer with hands-on experience scaling a Python/Flask incident-logging platform processing thousands of daily logs. Strong in performance tuning (PostgreSQL/SQLAlchemy query optimization, partitioning, summary tables) and reliability patterns (Redis caching, Celery background workers, Docker + Jenkins CI/CD), with some multi-tenant data isolation experience via separate DBs/schemas.”

AgileAlgorithmsAngularAWSAWS LambdaAzure DevOps+112
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SK

Shabnam Kakar

Screened

Senior Content Marketing Leader specializing in B2B SaaS GTM and SEO

Vancouver, Canada9y exp
DialpadBritish Columbia Institute of Technology

“Partnerships and growth marketer from Dialpad who builds high-intent acquisition channels through review/comparison and integration partners. Uses SEO-driven sourcing, performance-based deal structures, and rigorous experimentation (A/B tests, segmentation, CVR/CPA tracking) to drive higher-quality trials than paid search while protecting editorial trust.”

Content StrategySEOAnalyticsVendor ManagementStakeholder CommunicationCross-functional Collaboration+55
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YZ

Yunxi Zhu

Screened

Entry-level Robotics & Automation Engineer specializing in robot learning and manufacturing automation

Houston, TX1y exp
Applied OptoelectronicColumbia University

“Robotics software engineer focused on real-time teleoperation and high-quality robot-learning data pipelines, including synchronized multimodal sensing (RGB-D, tactile, joint states) for Diffusion Policy training on a bimanual ALOHA robot. Strong ROS practitioner who debugs real-time control issues with ROS tooling and builds simulation environments in Isaac Lab and PyBullet; also packages data-collection stacks with Docker.”

AutomationComputer VisionData AnalysisDeep LearningGitMATLAB+92
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SP

Sanjay Pokkali

Screened

Mid-level Robotics & Software Engineer specializing in robot learning and simulation

Urbana-Champaign, USA3y exp
Robotic Perception, Interaction, and Learning Lab (RoboPIL)University of Illinois Urbana-Champaign

“Robotics software engineer/researcher with hands-on real2sim experience for deformable manipulation: led real-world data collection and diffusion policy deployment on an Aloha robot, then built a MuJoCo + Gaussian-splat digital twin with point-cloud alignment. Also brings 3 years of production software engineering experience, including Docker/CI/CD and a zero-downtime Blue-Green upgrade of a core API router, plus ROS/ROS2 work spanning autonomous vehicles and UR20 pick-and-place with MoveIt2.”

Amazon EC2Amazon RDSAnsibleAngularAPI DevelopmentAWS Lambda+73
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NA

Nishantkumar Asodariya

Screened

Mid-level Supply Chain Analyst specializing in global logistics automation and forecasting

USA4y exp
HoneywellIndiana Wesleyan University

“Built and shipped a production LLM-powered recruiting workflow that ranks resumes against job descriptions, generates evidence-based justifications, and finds "hidden fit" candidates using embeddings + RAG. Demonstrates strong production engineering around hallucination control, latency, and predictable LLM cost management (budget checks, top-K pruning, tenant caps), plus orchestration experience with Airflow/Prefect/Kubernetes and a structured evaluation/monitoring methodology for AI agents.”

AutomationCommunicationContract NegotiationCross-Functional CollaborationData AnalysisForecasting+101
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AR

Anagha Rumade

Screened

Senior Applied AI/ML Engineer specializing in GenAI, LLMs, RAG and agents

Palo Alto, California9y exp
JPMorgan ChaseStevens Institute of Technology

“Applied AI/ML Engineer at JPMorgan Chase who led a banker-facing LLM chatbot from an OpenAI-API POC to a production RAG workflow, including hallucination mitigation, automated evaluation in SageMaker, and operational monitoring with Dynatrace. Also delivers external technical education—hosted a hands-on Grace Hopper Celebration 2025 workshop teaching LangChain/LangGraph agentic workflows.”

AWSAWS LambdaCI/CDComplianceData AnalysisData Ingestion+58
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CB

Corey Bowlby

Screened

Executive Product & Technology Leader specializing in FinTech SaaS, core banking, and payments

Abu Dhabi, United Arab Emirates23y exp
IDCentriqWestern Governors University

“Product/technology executive who has repeatedly built and scaled engineering organizations from early-stage startups to large enterprises (including Temenos with ~2,000 developers). Led major platform modernizations (monolith-to-microservices) to enable SaaS, resilience, and faster delivery, and launched an innovation hub to build proprietary neural-network biometric algorithms for a payments product enabling "wave of the hand" transactions.”

Product managementSaaSAPI integrationMicroservices architectureMicrosoft AzurePerformance optimization+116
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AM

Aditya Menon

Screened

Mid-level Procurement & Supply Chain Analyst specializing in sourcing analytics and P2P/S2P

Atlanta, GA6y exp
ITOrizonUniversity of Texas at Dallas

“Sourcing/procurement professional with hands-on CAPEX equipment sourcing experience, building RFI/RFP packages, qualifying new vendors, and negotiating using market and internal spend data. Demonstrated process-improvement impact by redesigning proposal evaluations into a parallel workflow, cutting sourcing cycle time by ~20% while maintaining evaluation rigor.”

Workflow AutomationNegotiationDashboardingData AnalysisData ModelingMicrosoft Excel+102
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BG

Bernard Griffin

Screened

Senior Data Scientist / ML Engineer specializing in cloud ML pipelines and GenAI

Baltimore, MD17y exp
IntelIllinois Institute of Technology

“ML/NLP practitioner with experience building a transformer-failure prediction system that combines sensor signals with unstructured maintenance comments using LLM-based extraction and similarity validation. Strong emphasis on production readiness—data leakage controls, SQL-driven data quality tiers, and rigorous bias/fairness validation (including contract/spec evaluation across diverse company profiles).”

A/B TestingAmazon BedrockAmazon EC2Amazon EMRAmazon KinesisAmazon Redshift+130
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AS

Aisha Sampson

Screened

Senior Organizational Development & HR Leader specializing in change management and workforce strategy

Lancaster, TX13y exp
DeloitteStrayer University

“Talent Acquisition/Recruiting Operations leader with 10+ years driving large-scale K-12 district hiring, including staffing across 200 schools and managing thousands of candidates annually. Known for redesigning fragmented recruiting workflows and implementing ATS solutions (Lever, AppliTrack, Taleo, Oracle HCM) to deliver measurable gains: 15% vacancy reduction, 20% faster time-to-hire, 30% fewer compliance errors, and 25% faster onboarding.”

Change ManagementProcess ImprovementProject ManagementAgileScrumStakeholder Management+81
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HS

Harmeet Singh

Screened

Senior Game Economy & LiveOps Manager specializing in monetization and progression systems

Remote, Canada9y exp
2KUniversity of Delhi

“Game economy/progression designer for PGA titles who owned equipment and attribute progression plus virtual currency sources/sinks end-to-end. Uses quantitative modeling and telemetry (wallet balances, spending ratios) to tune supply/pricing and hit segment-specific business targets (e.g., conversion and completion-rate goals), and aligns stakeholders via KPI-lift projections and tradeoff-driven presentations.”

A/B testingForecastingData analysisPredictive modelingPythonSQL+54
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RM

Rithvik Mysore Suresh

Screened

Junior Full-Stack Software Engineer specializing in React and AI-powered applications

Bloomington, IN4y exp
Indiana UniversityIndiana University Bloomington

“Full-stack/AI-focused builder who shipped a production Career Advisor app using LLMs + RAG + vector DB (React/Node/MongoDB/Claude API) and grew it to 2000+ users, handling real deployment issues and CI/CD on Vercel/Render. Also developing an AI-powered iOS “3D World Explorer” (text-to-3D) and has cloud experience across Azure and AWS (S3/SageMaker/EC2).”

PythonJavaScriptTypeScriptCSQLHTML+96
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JW

Jenny Wu

Screened

Junior Biomedical Engineering student and full-stack developer specializing in robotics & computer vision

3y exp
FuelCell EnergyUniversity of Waterloo

“Robotics/software engineer who deployed a Raspberry Pi computer-vision-controlled 3-axis platform at FuelCell Energy, improving screen-print alignment from >10mm to 0.01mm repeatability via encoder-based closed-loop PID control. Currently designing an AI-enabled hearing-aid accessory for the cocktail party problem using a multi-mic array, beamforming, and an edge-accelerated neural network with <10ms latency via shared-memory DSP integration.”

PythonCC++JavaTypeScriptHTML+95
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RK

Rifat Khan

Screened

Mid-level Mechanical/Aerospace Engineer specializing in scientific computing, CFD, and ML systems

Santa Fe, New Mexico6y exp
New Mexico Public Regulation CommissionUSC

“Robotics/control-focused engineer who built and validated a series elastic actuator control stack end-to-end (dynamic modeling, torque/position control, simulation, and experimental real-time debugging on hardware). Deep simulation background (OpenFOAM/COMSOL/Abaqus) and practical reproducibility tooling (Docker/CI), with conceptual ROS/ROS2 knowledge and confidence ramping into ROS-based stacks.”

CCUDAData AnalysisDeep LearningFeature EngineeringIncident Response+154
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TS

Tejal Shetty

Screened

Junior Robotics & Computer Vision Engineer specializing in simulation and embedded systems

Los Angeles, CA1y exp
DatawrkzUSC

“Robotics software contributor with hands-on experience building a Gazebo/ROS(2) Mars rover simulation integrating LiDAR and image segmentation for autonomous navigation and SLAM (Nav2). Comfortable debugging low-level sim/model integration issues (URDF/XML) and building sensor-data pipelines, and has also shipped a real-world telemetry setup streaming vibration data over UDP with packet-loss mitigation.”

BlenderCC++CUDAData AnalysisData Visualization+81
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CB

Carol Barfield

Screened

HR Director and People Leader specializing in multi-site operations, employee relations, and total rewards

Connecticut, United States14y exp
Beauty Quest GroupUniversity of New Haven

“People/HR strategy leader with experience in global team management and workforce planning across five divisions at Kantar. Uses data-driven org change (production + engagement analysis) and practical engagement levers (stay interviews, internal mobility, shift redesign) to deliver measurable results, including a 10% production efficiency gain in six months, and has led targeted initiatives to recruit/retain women through focus groups and flexible work options.”

Workforce PlanningComplianceData AnalyticsChange ManagementBudgetingPerformance Management+80
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