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Vetted Data Analysis Professionals

Pre-screened and vetted.

AS

Mid-level Technical Consultant specializing in Appian delivery and data/AI workflow automation

Mclean, VA5y exp
AppianUniversity of Illinois Urbana-Champaign

Appian consultant/engineer focused on insurance and financial services modernization and AI-enabled workflows. Built and productionized an AI-driven insurance submission intake system (email ingestion, classification/extraction, HITL review) cutting processing time from 2+ hours to under 10 minutes, and delivered semantic smart search with guardrails and UAT-driven ranking improvements. Also partnered with a global bank CTO org, running sessions with 200+ senior leaders to automate regulatory/board metric reporting via platform integrations and attestation.

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BI

Brad Isaacson

Screened

Executive healthcare operations leader specializing in outpatient imaging and research organizations

Salt Lake City, UT16y exp
Tellica ImagingBoston College

Healthcare operator and entrepreneur who founded and scaled Tellica Imaging (an Intermountain Company) from inception to serving 150,000 patients, generating $70M+ in gross revenue, and operating across 4 US states. Serves as President & CEO of two joint ventures and has hands-on experience building board-ready business cases, securing internal capital, and mastering healthcare revenue cycle/reimbursement to drive growth and customer satisfaction.

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SP

Sneha Patil

Screened

Mid-level Financial Analyst specializing in FP&A, forecasting, and regulatory reporting

New York, NY5y exp
JPMorgan ChaseUniversity of Texas at Arlington

Backend-focused software engineer (4+ years) across e-commerce, banking, and healthcare who owned mission-critical checkout/order management end-to-end and improved peak-traffic success rates via resiliency patterns (timeouts/retries/caching) and data-driven iteration. Also built and shipped real-time operational dashboards (React/TypeScript + Spring Boot) using WebSockets and event-stream integrations, with strong experience in Kafka/RabbitMQ-style messaging at scale.

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SM

Sam McKenzie

Screened

Mid-level Business Operations & FP&A professional specializing in RevOps automation and GTM strategy

Remote7y exp
BuildZoomUC Berkeley

At BuildZoom, led cross-functional alignment to launch a new product (Data Explorer) and grew it from $0 to $1.3M ARR in 12 months. Leverages analytics and BI tooling (HubSpot, Looker, Tableau, Sisense) to build executive dashboards and drive strategic decisions, including redesigning sales incentives to emphasize recurring revenue.

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AP

Ashley Post

Screened

Executive Chief of Staff / Operations Leader specializing in cross-functional strategy and GTM

New York, NY10y exp
Innovative Edge ConsultingGeorge Mason University

Cross-functional operator with experience at Amazon and Airbus, known for building executive-facing systems (dashboards, AI-enabled project management, operating cadences) that improve communication and efficiency. Has handled high-pressure, multi-timezone priorities and customer-facing technical escalations using structured documentation and frequent stakeholder updates, while maintaining discretion in sensitive situations.

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SD

Senior AI/ML Engineer specializing in GenAI agents and LLM workflows

San Francisco, CA6y exp
Scale AIBelhaven University

LLM/AI engineer with production experience building a retrieval-based document intelligence system that extracts information from PDFs/emails, backed by Python + Spark pipelines. Focused on reliability and cost/latency optimization (caching, batch processing) and has hands-on orchestration experience with Airflow (sensors, retries, alerts). Also partnered with business stakeholders to deliver customer feedback classification/summarization for faster sentiment insights.

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AT

Principal Automation & Robotics Engineer specializing in lab automation deployments

San Diego, CA4y exp
Eli LillyColorado School of Mines

Lab automation engineer building an automated weighing robot system for Lilly’s analytical chemistry group, integrating a 6-axis Mecademic robot, Mettler Toledo balance, and vision/barcode verification with safety protocols for live lab operation. Experienced in production Python for instrument control, data processing, and CV/ML, including authenticated Data Lake API integrations with fault handling. Also improved automated sample storage throughput 2–3x via pick-order optimization and partners closely with scientists to deliver MVP-to-production experimental automation workflows.

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ML

Michelle Lu

Screened

Senior Customer Success Manager specializing in B2B SaaS retention and expansion

Pleasanton, CA8y exp
GartnerUniversity of Texas at Austin

Enterprise CSM with martech/market-intelligence background (Pulse and Gartner context) who owns accounts end-to-end from onboarding through renewal and expansion. Known for executive-level value narratives (e.g., CPO using benchmarks in a board deck), multi-threading across Product and Legal, and using usage/segmentation analytics plus activation tactics (A/B testing, targeted messaging) to drive adoption and renewals.

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SH

Director-level Programmatic Media Strategist specializing in global omnichannel campaigns

Los Angeles, CA6y exp
KinessoUCLA

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.

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MJ

Director of Talent Acquisition specializing in executive and high-volume hiring

New York, NY9y exp
Child Mind InstituteArizona State University

Recruiting leader and player/coach manager who has led teams of 2–6 recruiters and can jump in hands-on for high-impact executive searches. Recently supported a CTO search by building an executive recruiting strategy and process that impressed leadership, and drove adoption of a standardized hiring approach by publishing a detailed recruitment guidebook for hiring managers. Brings 5+ years of close partnership with HRBPs on talent planning, succession planning, and D&I-aligned recruiting.

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JS

Jasper Snyder

Screened

Executive Operations & Client Success Leader in analytics, measurement, and reputation intelligence

New York, NY23y exp
Maps InsightsQueen Mary University of London

Operations-focused leader with experience spanning client delivery, sales operations, and longer-term customer success initiatives at a reputation analytics firm and at Penta. Known for implementing systems (ClickUp, Salesforce/HubSpot, marketing tech) and rigorous reporting rhythms that improve executive visibility, accountability, and data-driven resource allocation; also supported an acquisition by preparing confidential financial documentation and contracts.

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VU

Senior Software Engineer specializing in AI/ML, computer vision, and cloud-native systems

Remote8y exp
Saayam for AllCarnegie Mellon University

Independently built a production-grade, containerized enterprise agentic AI platform (stateful orchestration + RAG) focused on real-world reliability—guardrails, citation-based outputs, reranking, query rewriting, and evaluation harnesses to reduce hallucinations. Hands-on with OpenAI SDK, CrewAI, and LangGraph, and has delivered AI solutions for non-technical NGO stakeholders via demos and practical POCs.

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VK

Vishwas Kumar

Screened

Senior Google Ads Specialist focused on performance marketing and conversion optimization

Hyderabad, Telangana5y exp
GoogleIEC University

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.

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PM

Prajit Mohan

Screened

Junior QA Engineer specializing in test automation for web applications

Oakland, CA3y exp
CognizantUC Berkeley

QA automation engineer with healthcare web experience who owned an end-to-end automated test suite (Java/Cucumber/Selenium and Cypress) and integrated it into CI/CD (Jenkins to GitHub Actions, qTest DoD gates). Known for boosting regression coverage to ~93%, stabilizing flaky Cypress tests, and catching production-impacting pipeline/environment redirect issues through workflow updates and cross-browser/regional scenario testing.

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RR

Senior Ad Operations & Revenue Operations Manager specializing in digital media campaigns

New York, NY12y exp
HearstFordham University

Performance marketing and ad operations specialist who owned an Eli Lilly high-spend account ($75K–$150K/month), running campaigns across GAM, FreeWheel, and Operative One. Focused on disciplined pacing, trafficking/QA, and cross-system reporting reconciliation to hit 100% in-full delivery, stabilize CPA mid-flight, and avoid makegoods or billing escalations.

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MI

Mid-level Data Scientist specializing in machine learning and big data analytics

Bentonville, AR6y exp
WalmartUniversity of North Texas

Walmart engineer who built and shipped a production LLM+RAG system to automate triage and analysis of computer support chats/tickets, producing grounded, schema-constrained JSON outputs for summaries, urgency, and routing recommendations. Emphasizes reliability (hallucination control, confidence thresholds, human-in-the-loop) and runs end-to-end pipelines with Airflow and AWS-native orchestration, plus rigorous evaluation and monitoring tied to business KPIs.

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JG

Jorge Garcia

Screened

Junior Robotics/Controls Engineer specializing in ROS2 autonomy, perception, and medical robotics

Palo Alto, CA2y exp
BDMLStanford University

Robotics software engineer/researcher at Stanford PDML Lab building VisualFT, a ROS2-based visual-tactile sensing system for compliant force-control guidance in acupressure/ultrasound-style manipulation. Also interned at Neocis (dental robotics) improving safety-critical collision detection using Bullet Physics with automated validation and CI (Jenkins/CDash).

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SS

Mid-Level Full-Stack Java Developer specializing in cloud-native microservices

4y exp
Goldman SachsIndiana Wesleyan University

Full-stack developer who built a learning management web app end-to-end using React, Spring Boot, and MySQL, integrating APIs via Axios and validating/testing with Postman. Has experience handling data-heavy workloads (courses, quiz results) and improving performance with pagination, and is comfortable designing microservice-style endpoints with CI/CD considerations.

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KT

Mid-level Data Scientist specializing in machine learning and generative AI

Saint Louis, MO5y exp
DoorDashSaint Louis University

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.

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RK

Junior Product & Data Analyst specializing in accessibility, SaaS implementations, and healthcare analytics

Champaign, IL2y exp
University of Illinois Urbana-ChampaignUniversity of Illinois Urbana-Champaign

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.

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RW

Roger Woody

Screened

Executive Operations & Transformation Leader in Federal and Defense organizations

36y exp
National Reconnaissance Office

Operations and Chief of Staff leader with experience at NRO, DHS/TSA, and NOAA, translating complex, regulated enterprise environments into startup-like scalable operating systems. Implemented Salesforce/PeopleSoft/Cognos-driven process optimization, governance, and keystroke-level SOPs, delivering measurable improvements (20% performance gains; 15% error reduction) while driving adoption through hands-on change management and executive alignment.

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SP

Senior Engineering Manager specializing in data platforms, microservices, and enterprise GTM analytics

Fremont, CA22y exp
Autodesk

Engineering leader (player-coach) recently at Autodesk driving a major sales-motion transformation spanning account hierarchy, commissions/quotas, and downstream financial/sales forecasting impacts. Led cross-functional design with enterprise architects and shipped the end-to-end release, using POCs and Anaplan what-if modeling to validate a risky hierarchy change while coordinating delivery across India/Singapore teams and instituting structured Jira-based tech debt/support tracking and automation (dbt, GitHub Copilot).

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