Vetted Data Analytics Professionals

“Hands-on engineering leader currently at Vianai (GenAI enterprise applications) building AI-assisted data exploration/insights products with Python and React. Previously Corporate VP of Digital Health at Samsung Electronics, where they helped close key partner deals by demonstrating API-driven openness and led a major Samsung Health modernization from monolith to microservices for horizontal scalability and faster, safer iteration.”

Paul Boehms

Screened ReferencesStrong rec.

Executive COO/CFO specializing in operational excellence, finance transformation, and M&A integration

Grand Rapids and Detroit, MI25y exp

“COO/operator with 12 years in law firm environments who founded an HR consulting startup under Clark Hill PLC, building the full go-to-market, pricing, and standardized service delivery playbooks (including a payroll-percentage fractional HR retainer model). Lean Six Sigma Black Belt with proven results in both manufacturing (raising rooftop AC output from 20 to 50 units/week) and professional services (cut ~1 week from invoicing to improve cash flow). Also runs financial operations for a fast-growing nonprofit sports club (600+ participants).”

Jesse Olson

Screened

Executive AI technology leader specializing in agentic AI and enterprise transformation

22y exp

“Candidate is exploring a startup in the autonomous agentic AI space and is approaching it with a disciplined founder mindset. They are evaluating market opportunity, competition, customer pain, ROI, technical feasibility, and MVP options while already speaking with potential customers across verticals to validate needs and buying processes.”

Ridhi Singhal

Screened ReferencesStrong rec.

Mid-level strategy and analytics professional specializing in growth and due diligence

Atlanta, GA4y exp

“Growth and launch operator with Uber experience spanning marketplace expansion, rider/driver activation, and scalable onboarding systems in new-city launches, including Uber Shuttle in India. Stands out for combining data analysis, operational modeling, and cross-functional experimentation to unlock incremental revenue, improve NPS, and build repeatable playbooks that scaled across markets.”

Jim Woodroffe

Screened

Executive Engineering Leader (CTO/VP) specializing in scaling platforms, AI, and cloud infrastructure

San Francisco, CA24y exp

“Entrepreneurial operator who previously built an AI context layer for personal communication/relationships and has worked with a New York-based venture group to evaluate early-stage ideas from both technical and business angles. Currently exploring broad startup opportunities and collaborating with 2–3 early-stage companies, with a structured approach to assessing market outcomes, competition, and team fit.”

“Consulting-style leader (McKinsey context) driving data- and AI-enabled transformations across healthcare, QSR, retail, and services. Has built AI-powered analytics tools for marketing ideation, led agile operating models with client-side counterparts and external coaches, and navigated highly sensitive competitive retail engagements by isolating teams and delegating pricing work to avoid conflicts.”

Tolulope Akinlabi

Screened ReferencesStrong rec.

Mid-level Cyber & Cloud Security Analyst specializing in AI/ML and cloud risk

Lanham, MD6y exp

“Built a production AI security compliance assessment system using the OpenAI API that ingests company policy documents, performs RAG over embeddings stored in Supabase/FAISS, and generates executive-level gap and maturity reports mapped to NIST CSF, SOC 2, and PCI DSS. Also developed a multi-agent trading assistant orchestrated with LangChain, combining live market data (Yahoo/Polygon.io), sentiment/technical indicators, LSTM-based forecasting, and LLM-generated recommendations.”

“Senior engineering/technology leader who has defined and delivered a multi-year roadmap to modernize platforms and embed AI, leading global teams through cloud-native and microservices migrations on AWS/Azure. Demonstrated measurable outcomes including 99.99% uptime, 40% fewer incidents, 25% faster delivery, 5x scalability, and $30M in new business opportunities, while scaling a 100+ person distributed org with strong OKR-driven execution and mentorship culture.”

“Early-stage founder building a service business targeting small clinics, already with one client. Identified the opportunity by helping a family member and then validating needs through direct client conversations; uses AI (including AI agents) for content generation and plans deeper workflow automation to scale cost-effectively.”