Vetted Data Analysis Professionals

“Former Database Marketing Analyst with hands-on SQL experience supporting targeted casino marketing campaigns and a strong emphasis on validation accuracy. Also describes owning analytics work that standardized engagement metrics across teams, automated cohort/segmentation reporting, and helped identify onboarding friction that improved user engagement.”

David Alvarado

Screened

Junior Business Analyst specializing in data analytics and BI

Orlando, FL3y exp

“Analytics candidate with insurance domain experience at Chubb, combining strong SQL/Python data engineering for claims reporting with business-facing metric design in Power BI. Also built an MLB game outcome predictor that beat Vegas implied probabilities using public data, showing strong product thinking and applied modeling ability beyond standard BI work.”

“Lifecycle/CRM marketer with hands-on and strategic experience in fintech membership products at MoneyLion, spanning onboarding, activation, retention, and win-back across email, push, and in-app. Brings strong Iterable and Hightouch execution skills plus prior people management experience from Sync AI, making them a blend of operator, strategist, and team lead.”

“Chief of Staff/operator who joined venture-backed startup Blockless at the pre-seed stage and built the operating system from scratch while acting as the founder’s right hand. Combines startup execution, fundraising support, and deep Web3/DeFi domain fluency, including helping close a $3.5M seed round ahead of schedule with clean diligence materials.”

“Performance marketing specialist with hands-on ownership of $50K+/month spend on the AdOn Network at RhythmOne, focused on driving new-user growth and on-site engagement. Known for rigorous, variable-isolated testing across keywords, placements, and ad copy, plus clear client reporting tied to engagement and efficiency metrics.”

“Backend engineer with health-tech AI platform experience who designed a modular FastAPI/PostgreSQL architecture supporting real-time user data and swap-in AI workflows. Has hands-on production experience with observability (CloudWatch, structured logging, LangSmith/LangGraph/LangChain tracing), secure auth (OAuth2/JWT, RBAC, RLS), and careful data-pipeline migrations using parallel runs and rollback planning.”

“Built an AI-based voice interviewer platform at 7C Lingo to automate early-stage candidate screening, owning the full lifecycle from architecture through deployment and weekly production iterations. Implemented a TypeScript/Next.js recruiter dashboard with a Flask/Postgres backend and AWS S3, plus modular services for transcription/analytics/session management using state-driven async workflows. Also created an internal Whisper-powered transcription and editing tool that evolved into a collaborative, versioned, live-transcription system.”

“GS-9 federal civilian Human Resource Specialist supporting Navy recruiting at Fort Hamilton (Brooklyn), leading ~12 military recruiters and overseeing elements of contracting and security clearance processing via NASIS. Brings prior Army experience (medically discharged) plus a BS in Legal Studies/Criminology and is starting an MBA in Global Management & Leadership, with a strong data-driven approach to executive stakeholder decisions.”

“Worked on large financial analytics datasets combining complaint text, transaction logs, and demographics; built end-to-end NLP/ML pipelines (TF-IDF + Random Forest) and data integration in BigQuery with Tableau reporting, citing ~95–98% accuracy. Also implemented entity resolution with fuzzy matching and semantic linking using BERT sentence-transformer embeddings stored in FAISS, including fine-tuning on labeled pairs to improve search/linking relevance.”

“Customer-facing technical professional with experience spanning engineering and product who advises on application security tradeoffs (threat modeling, API/auth risks, SOC2 mapping) and drives pragmatic remediation plans. Hands-on with Kubernetes/CI-CD agent integrations, secrets management, and log-driven troubleshooting; documented and escalated complex customer environment issues and reported a 40% reduction in bug reporting through workflow automation.”

“Performance marketer from Fitbit who owned the highest-funded paid media efforts, managing multi-million-dollar monthly budgets across Meta, Google Search, and Performance Max with a disciplined experimentation framework. Demonstrated impact includes a 25% conversion-rate lift and 10% retention improvement, plus strong marginal-CAC-based budget reallocation and creative-fatigue recovery to protect blended efficiency at scale. Seeking a full-time role with clear ownership of growth levers and fast, data-driven execution.”

“Merchandising/brand partnerships professional with Hot Topic experience sourcing and scaling licensed collaborations (e.g., Monster High with Mattel) by using social/customer demand signals and post-launch sell-through/ratings analysis. Strong in vendor/licensing negotiations to improve wholesale costs and margins, and in data-driven assortment planning with weekly performance reviews and seasonality-based inventory strategies.”

Vanessa Avilez

Screened

Senior Lifecycle & Retention Marketing Manager specializing in CRM and subscriber growth

Los Angeles, CA13y exp

“Lifecycle/CRM marketer with hands-on Braze automation experience, running cross-channel (email + push) onboarding and milestone campaigns for an app-based content product. Demonstrated strong activation metrics on Day 0 and drove a 10% week-over-week churn reduction by partnering with Customer Service on winback save-rate and scripting tests.”

Dhokhiy Mustofa

Screened

Mid-level FP&A and QA Analyst specializing in SAP BPC and financial planning

8y exp

“QA tester with a primary background in software/system testing who has supported console game testing on PS4 and Nintendo Switch, focusing on gameplay stability, UI behavior, save/load, and platform-mode performance differences. Has hands-on experience identifying a timing-specific PS freeze and supporting TRC/XR/LOT certification prep via checklist verification and blocker documentation, and uses AI to summarize regression logs for faster team decisions.”

Sreedivya Nagalli

Screened

Junior AI/ML Engineer specializing in deep learning and full-stack ML applications

2y exp

“Built and operated a production-used RAG-based AI study planner (GPT-4 + FAISS) that handled 250+ concurrent users, with real-world reliability engineering (caching, fallbacks, schema validation, Redis state, monitoring). Also has healthcare data integration experience at Medinet Analytics, standardizing messy EHR/practice-management data with canonical schemas, idempotency hashing, and compliance-grade audit trails.”

Varun Sharma

Screened

Mid-level AI Builder and Data Engineer specializing in GenAI and data pipelines

Remote, USA4y exp

“Full-stack AI product engineer who personally built ViGenAir, a multimodal system that turns long-form video into ads using FastAPI, React, and agentic scoring. Stands out for handling complex 50GB+ media pipelines, re-architecting systems to eliminate OOM failures, and making opaque AI workflows usable through interactive visual UX that improved trust, speed, and retention.”

“Built the US market for Karya in an ambiguous zero-base environment, creating a repeatable outbound playbook for spice buyers, importers, and food manufacturers. Combines HubSpot, Salesforce, and Claude to run highly personalized, high-volume outreach; recently turned 200+ post-event emails into 10 online and 2 in-person meetings in 2 days, and says their accounts now represent around 40% of company revenue.”

“Candidate comes from credit, collections, and bank restructuring rather than traditional sales, with experience doing outbound outreach to dormant accounts and navigating difficult borrower conversations. They stand out for combining prospecting and CRM research with financial modeling and credit proposal work, including helping move a distressed real estate restructuring forward by clarifying the bank's position for the borrower and internal credit team.”

“Built a technically demanding OS simulator dashboard in React/TypeScript that visualized memory, CPU registers, and processes with 100ms live updates. Demonstrated strong frontend performance instincts by pre-caching hundreds of DOM elements, using CSS Grid for precise layout, and debugging tricky address-translation and context-switch synchronization issues.”

“Senior product leader who helped transform Submittable from a single-program grant tool into a multi-program impact platform, driving ARR from $20M to $70M+ while improving retention and margins. Particularly strong in enterprise platform strategy and human-centered AI, with a clear philosophy of using AI to augment expert judgment rather than replace it.”

“Founding engineer who built a multi-tenant AWS backend from scratch focused on ultra-fast, configuration-driven client onboarding and low operational cost. Automated tenant provisioning/deployments with Terraform + GitHub Actions (new client infra in ~13 minutes) and scaled to 62 production clients handling ~75k requests/day without a major rewrite. Hands-on with migrations (DynamoDB->MongoDB), reliability/observability, and performance tuning (indexes, Redis, queueing, connection management).”

“Partnerships and growth operator with experience in community/creator-style ecosystems (Cantanda Company and other sales/consulting roles). Uses on-the-ground community research and relationship-led outreach to source and close partnerships, then measures impact via engagement, reach, and community growth. Has run referral-driven activation experiments and community-led GTM programs that became repeatable playbooks across locations.”

“Built Hexagon’s production Text-to-CAD Copilot that converts text and rough sketches into editable CAD code, combining GraphRAG (Neo4j/LangChain) with a Gemini-powered vision module and multi-agent geometric validation—cutting manual modeling from a day to ~45 seconds and driving retrieval latency below 50ms. Also has large-scale GCP data/ML orchestration experience (Airflow/Cloud Composer, Dataflow, Pub/Sub, Snowflake) processing 50M+ daily records with drift monitoring and automated reliability controls.”

“Enterprise customer success/implementation leader focused on AI-driven operational intelligence deployments in complex environments (e.g., large international airports). Has led end-to-end rollouts across 1200+ camera feeds and multiple airport systems, driving adoption stabilization within 90 days, influencing product roadmap (configurable alerts), and partnering with Sales to expand from initial congestion monitoring into additional operational modules.”