Vetted Analytics Professionals

“Backend engineer with hands-on experience building Flask REST APIs (auth, CRUD, S3 media uploads) and driving measurable Postgres/SQLAlchemy performance gains (p95 reduced to 200–400ms by eliminating N+1s and switching to keyset pagination). Implemented multi-tenant isolation with strict tenant scoping plus Postgres RLS, and built an OpenAI-powered quiz generation pipeline using queued workers, structured JSON outputs, and Celery/Redis optimizations to stabilize high-throughput workloads.”

“CMU candidate with hands-on experience taking LLM concepts from research prototypes toward production-ready designs (structured outputs, guardrails, failure-scenario evaluation). Also partnered with sales/customer teams at Mazecare to drive adoption with Dontia Alliance (largest dental clinic chain in Singapore) and engaged Singapore government stakeholders, bridging clinical workflow needs with IT security/integration concerns.”

Chris Deringer

Screened

Executive Marketing & Growth Leader specializing in SaaS and automotive digital marketing

Derwood, MD24y exp

“Growth-stage operator/CMO who helped scale DealerOn from 12 people and $1M to 800 people and $125M, building SEO/digital ads products, client success operations, and multi-source performance dashboards. Led a thought-leadership marketing engine with Google/Facebook partnerships and implemented Salesforce-based acquisition campaigns; experience optimizing onboarding and retention across different customer segments (auto dealers, law firms, home services).”

Jason Salas

Screened

Senior QA Engineer specializing in game quality ownership, automation, and analytics

Los Angeles, California9y exp

“QA/engineering background spanning Riot Games (VALORANT leaderboard systems) and early-stage startups. Has hands-on experience improving performance and reliability via caching, rate limiting, deduplication/idempotency, and shipping/validating high-stakes production hotfixes; also builds Next.js/TypeScript projects and automation/internal tools (Python).”

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%.”

“Backend-focused Python engineer who built an end-to-end personalized chatbot service integrating Amazon Redshift context retrieval with Amazon Bedrock, including prompt construction and production-grade reliability controls. Strong platform experience deploying containerized services to Kubernetes with GitOps/ArgoCD, plus hands-on Kafka streaming and phased infrastructure migration execution.”

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.”

Ben Kleiman

Screened

Executive product leader specializing in AI, data platforms, and national security

Denver, CO17y exp

“Head of Product at Bitly who built the company's Trust & Safety strategy and led a patent-pending abuse-detection platform that intercepted over 700 million harmful clicks. Also launched Bitly Assist, an LLM-powered assistant designed around human control and workflow integration, showing unusual depth in both AI product strategy and high-stakes safety/governance.”

“Analytics-to-product leader who has repeatedly turned messy, high-stakes data problems into scalable business outcomes—from modernizing American Express merchant risk scoring to helping build Meesho's influencer commerce channel into a meaningful revenue driver. Currently prototyping an enterprise GenAI platform for Sikich, where they shaped the architecture, privacy controls, and deployment standards for AI on sensitive client documents.”

Vivek Shrivastava

Screened

Director-level Technology Leader specializing in data platforms, AI, and media/AdTech transformation

Los Angeles, California24y exp

“Technology leader who built a unified platform for Fox live sports production operations starting in 2019, delivering an initial operational system on an ~18-month timeline while simultaneously scaling an in-house engineering team from a service-provider partnership. Led a security architecture for external vendors/partners using a separate Okta instance with zero-trust and passwordless authentication, and drove adoption through strong change management, documentation, and agile execution.”

“Entrepreneurial operator with 30+ years of experience building internal startup-style business cases inside private companies, securing capital/OpEx funding, and turning proposals into delivered technology initiatives. Brings a strong venture-informed mindset, including familiarity with Series A/B/C funding dynamics, combined with hands-on strength in business planning, financial modeling, team building, and execution.”

“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.”

“Product leader with experience rebuilding large-scale search and AI-enabled workflow products at Amadeus and SignalWire. Stands out for combining AI strategy, UX simplification, and organizational alignment—driving measurable outcomes like 45% adoption growth, 42% revenue increase, and mentoring teams to stronger cross-functional execution.”

“Product leader with 12 years of experience spanning consumer, platform, and data-governance products. Most notably built a Content Security platform at Disney from a vague concept into a delivered Salesforce-based product with centralized data, orchestration, auditing, and watermarking modules, and has a track record of navigating complex stakeholder and technical constraints.”

“Product leader with 10+ years focused on making complex technical systems trustworthy and usable, most recently leading AI agent experience at Zendesk. Distinctive blend of enterprise AI product strategy and regulated health-tech experience, including HIPAA-constrained ML personalization and trust-first deployment design.”