Vetted Data Analysis Professionals

“Aspiring founder with moderate familiarity with the VC and startup studio ecosystem, motivated by the ability to solve problems according to their own vision. Particularly interested in building in home services and mental health/counseling, and expresses strong commitment to entrepreneurship.”

“Full-stack + ML engineer who built “Finsight,” a real-time financial risk platform (React/FastAPI/MongoDB/AWS Lambda) processing 2M+ records monthly, using sharding and Redis caching (60% DB load reduction) plus async and batch optimizations. Also has healthcare product experience at Apollo Healthcare, partnering directly with clinicians/admins to design and iterate EHR dashboards via Figma prototyping and user testing, and demonstrates clear system design thinking for real-time voice-to-LLM architectures.”

“Paid media performance marketer with hands-on ownership of a $100K/month higher-education account spanning LinkedIn, Google Ads, and programmatic display/video. Built a structured 6-week experimentation approach (2-week test intervals) and used geo-fencing to reach military audiences, exceeding attendance goals for online MBA informational sessions (avg ~45 attendees vs 30 target). Strong in diagnosing stalled performance and translating complex metrics into client-friendly insights.”

“Built and deployed an LLM-powered mental health therapy assistant at AppHealth that segments users by stress level and delivers personalized, non-medical guidance. Implemented healthcare-focused safety guardrails (secondary LLM output filtering) and a multi-agent router workflow validated via statistical tests and therapist review, then scaled training/inference on AWS (EC2/Lambda/DynamoDB) with Kubernetes.”

“Growth/partnerships operator in the creator ecosystem who runs creator-led GTM launches and brand collaborations (not yet a traditional gaming studio partnership). Has executed a baby wellness program launch using Facebook/TikTok/Instagram plus live Zoom Q&As and co-branded partnerships, and designed outcome-based email re-engagement loops to improve repeat engagement; helped drive a campaign that led to a SEA creator award.”

“Procurement/sourcing professional with end-to-end ownership of vendor selection and cost control, leveraging SAP spend analysis, RFIs/RFQs, and structured supplier capability/quality assessments (ISO, PPM, inspections). Notably streamlined an ordering/invoicing process to reduce blocked invoices and push payments through EDI, and uses Excel/Power BI plus workflow tools (123forms) to manage milestones, approvals, and OTD.”

Raden Ananta

Screened

Senior QA Engineer specializing in test automation and FinTech

Jakarta, Indonesia10y exp

“QA tester with consulting experience focused on payment systems, including scenario testing and automation using QF-Test. Has a business-impact mindset (prioritizes revenue-critical end-to-end flows) and has surfaced high-severity defects that required source code changes; not yet experienced with console game testing or platform certification requirements.”

Lana Mouton

Screened

Director-level Digital Marketing & Google Ads Specialist in performance paid media

South Africa11y exp

“Performance marketer who owned a $7M/month Google Ads program for a major U.S. insurance brand, combining full-funnel strategy (Search, YouTube, Performance Max) with offline/value-based conversion tracking built alongside data engineering. Delivered major efficiency and growth gains (~25% lower CPA, 200%+ ROAS lift, ~45% more leads) while improving qualified lead rates to ~45–50% through statistically grounded testing and lead-quality optimization.”

“Analytics candidate with hands-on experience building SQL-driven reporting tables and end-to-end KPI dashboards in Power BI and Excel. They emphasize stakeholder alignment, metric clarity, and data trust, including defining retention metrics, documenting dashboards, and creating centralized reporting that reduced manual work and improved decision-making.”

Muhammad usama Subhani

Screened

Mid-level Performance Marketing Manager specializing in digital advertising

Lahore, Pakistan5y exp

“Performance marketer with hands-on experience managing $50K+/month media budgets, including Universal Studios campaigns on DV360 and The Trade Desk. They bring broad cross-channel expertise across programmatic, search, social, and DSP platforms, with a practical testing mindset focused on ROAS, CTR, and conversion efficiency.”

Clil Halevi

Screened

Junior Financial Markets Analyst specializing in quantitative research and FinTech

South Orange, NJ4y exp

“Analytics-focused candidate with internship experience at eToro and strong finance/product analytics exposure. They’ve worked on market sizing for Nordic stock launches, replicated a classic behavioral finance study using Python and CRSP data, and built cohort, retention, and churn analyses that informed onboarding and engagement recommendations.”

“Lawyer with hands-on NIL experience who works closely with high school and AAU basketball athletes and their families. Stands out for combining compliance guidance, player evaluation, and long-term trust-building— including converting skeptical parents over 18-month relationship cycles and helping families navigate difficult financial and recruiting decisions.”

“Compensation and payroll professional with hands-on experience owning payroll-related change cycles, including minimum wage updates, retro pay, and Workday testing/configuration support. Brings a strong blend of compensation analytics and systems knowledge, having built market gap analyses, maintained pay structures, reconciled HRIS/payroll/finance data, and used Excel and Anaplan to support compensation decisions and reporting controls.”

Rohan Chodapunedi

Screened

Entry-level Data Scientist specializing in LLMs and analytics

Folsom, CA1y exp

“Built a zero-to-one AI contract/policy QA agent for compliance and data teams, with a strong emphasis on trust, traceability, and clause-level citations rather than just fluent answers. They combine full-stack product ownership with practical LLM systems design, including hybrid retrieval, structured outputs, and evaluation pipelines to improve reliability, latency, and cost.”

“Intern-level full-stack engineer who has built across accessibility tech, ad-tech, healthcare software migration, and consumer analytics projects. Stands out for combining hands-on React/frontend work with backend integration, accessibility-aware routing logic, OAuth debugging, and pragmatic product decisions in highly ambiguous environments.”

Brad Anderson

Screened

Executive product leader specializing in FinTech, SaaS, and digital transformation

Texas, USA23y exp

“Product leader with experience spanning telecom, fintech mortgage, and hospitality, including a major AT&T rebuild of a fragmented digital sales flow and AI-enabled lending/onboarding products. Brings a strong mix of legacy modernization, cross-functional alignment, UX iteration, and human-centered thinking about AI as an amplifier rather than a replacement.”

“Director-level product leader with experience spanning SaaS platform rebuilds, pricing strategy, and AI-native workflow design. At Skykit, they led a major self-serve/PLG account management transformation across multiple teams, and they also built an AI sales quoting tool using a multi-stage RAG pipeline that reached 100% quote accuracy in user testing.”

“Finance professional with IPO, capital raising, and PE-adjacent transaction experience who is also building Lungkindred, a caregiver matching platform inspired by her own experience as a lung cancer caregiver. She has shown early founder traction by sourcing users through niche patient communities and converting them into onboarded matches while navigating trust in a highly sensitive healthcare context.”

“Built and shipped “LabMate,” a production AI assistant specialized in laboratory hardware, using a weighted multi-source RAG pipeline with reranking and reasoning-focused query decomposition to handle complex user questions. Deployed on a local GPU cluster with vLLM and NVIDIA MPS (plus OCR/VLM components), and established evaluation using synthetic + public reasoning datasets while collaborating weekly with non-technical admins to align requirements and resource constraints.”