Vetted Forecasting Professionals

DAVID WOODBURY

Screened ReferencesStrong rec.

Executive COO/CRO and growth consultant specializing in scaling founder-led businesses

Grand Rapids, MI18y exp

“Serial founder and agency leader (recent agency exit with completed 3-year earn-out) currently serving as COO but prefers CEO/founder role. Spun Camp Native out of an agency after spotting a hospitality tech gap, raised venture funding, scaled partnerships to 800+ properties, and led the company to a private equity acquisition. Uses AI tools to dramatically accelerate go-to-market, research, and validation cycles.”

“Analytics professional with operations-grounded experience at WWEX Group who built a Snowflake/dbt fleet-efficiency data model combining telematics, ERP, and driver logs into near real-time executive reporting. They pair strong SQL/Python workflow automation with practical stakeholder enablement, and cite measurable impact including cutting reporting time from 72 hours to 15 minutes and helping drive $450K in quarterly fuel savings.”

Dennis Onyukwu

Screened ReferencesModerate rec.

Senior Performance Marketing Manager specializing in SEO, paid media, and lifecycle growth

Caudalie, Asana, Build-a-Bear, Slack, AutoDesk8y exp

“Creator-first growth and partnerships operator spanning gaming and consumer (skincare) launches, combining creator-led activations with paid amplification across Meta/TikTok/Discord. Strong in performance-based deal structures and rigorous measurement (CAC, ROAS, cohort/LTV) to scale what works and stop what doesn’t; has delivered 3.4x ROAS partnerships and a 31% new-customer lift in a GTM.”

“Graduate student taking advanced coursework in NLP, generative image modeling, and computer vision; built a PPO reinforcement-learning agent for a Super Mario platformer with careful reward shaping and metric-driven evaluation. In a recent internship designing credit risk models, created a 10-method feature-selection voting framework and achieved ~10% out-of-sample performance improvement while reducing features to mitigate overfitting.”

“Backend engineer who evolved and migrated a real-time smartwatch telemetry ingestion/analytics platform in a healthcare context, focusing on reliability under poor network conditions. Experienced with Python/FastAPI and Java microservices, PostgreSQL performance tuning, and production-grade security (JWT/OAuth, RBAC, RLS) with incremental rollout and parallel-run migration strategies.”

“Data/ML practitioner who has built a production RAG-based knowledge assistant integrated into Microsoft 365/internal dashboards to help employees query internal documents in plain English. Experienced orchestrating and hardening ETL pipelines with Airflow and Azure Data Factory (validation, retries, monitoring) and running end-to-end model evaluation and production performance tracking via Power BI.”

Gautam Agrawal

Screened

Mid-Level Software Engineer specializing in backend systems, cloud, and applied LLM/NLP

IN, USA4y exp

“Applied LLMs to classify long nonprofit mission statements into 8 segments without labeled data, using an ensemble of clustering/embedding methods plus zero-shot RoBERTa/BART and a Tree-of-Thought prompting pipeline with LLM-as-judge evaluation (Gemma). Also built LangChain/LlamaIndex agentic RAG workflows including a text-to-SQL data analysis assistant grounded on DB schema with retries and performance optimizations on an HPC cluster.”

Heather Talla

Screened

Director-level B2B Marketing & Growth Leader specializing in demand gen and lifecycle revenue

DeLand, FL8y exp

“Digital Specialist/Media Buyer at John 3:16 who managed $50K+/month in spend (≈$500K/year) across a broad omnichannel mix (search, social, programmatic, CTV/OTT/DOOH, audio, geofencing, email acquisition). Delivered 17% YoY growth vs a 7–8% target and implemented new online giving options (DAF, crypto, stock) contributing to 24% growth on a ~$15M annual giving base.”

“Analytics professional with experience across Dreamline AI, Ultron Technologies, and Infolabz, building SQL/Python data pipelines and BI dashboards for incentive, FMCG, and retail use cases. Stands out for turning messy multi-source data into trusted reporting, automating recurring analytics, and tying dashboard adoption to measurable business outcomes like 50% faster reporting and 30% ROI improvement.”

“Founder of distribb.io, an 8-month-old AI SEO software company already at $10k MRR. Brings 15 years of startup ecosystem exposure and a pragmatic, market-driven approach to building businesses by targeting proven demand rather than chasing novelty.”

Samee Rauf

Screened

Junior AI/Full-Stack Software Engineer specializing in ad automation and LLM systems

Dallas, Texas3y exp

“Full-stack engineer with deep ad-tech/marketing automation experience, building production tools that reduce programmatic ad waste and improve search ads performance. Shipped and operated AWS-deployed, Dockerized systems with Postgres/Redis and strong observability (Datadog/OpenTelemetry), and delivered measurable impact (25k campaigns processed, 50k sites negated, 3–4 hours/week saved). Built scalable abstractions for multi-platform ad integrations, enabling rapid onboarding of additional clients.”