Vetted Data Analytics Professionals

Brian Gomez

Screened

Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision

United States12y exp

“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”

“Cross-functional operator with experience coordinating a medical device build across functions and time zones, emphasizing executive alignment and decision sign-off. Has also standardized customer-site product deployment processes and streamlined investment screening/reporting using Bloomberg and Excel automation to enable faster executive decision-making.”

“Founder building an enterprise agentic AI startup who has already raised about $100K (friends & family plus self-funding). Has prior and current experience engaging VCs (including outreach to both large and small firms) and emphasizes demo-driven pitching, enterprise customer validation, and targeting billion-dollar market opportunities.”

Kristen Hoey

Screened ReferencesStrong rec.

Executive HR & Talent Strategy Leader specializing in Capital Markets

25y exp

“Recruiting and talent leader with experience managing recruiter teams at Citi (8) and Point72 (3), now advising recruiting teams and leaders. Partners directly with CEOs and board members on senior talent selection, executive coaching, and succession planning, and has driven process improvements such as implementing scheduling software and automation to shorten interview timelines and improve candidate experience.”

“Senior enterprise and public sector sales leader with deep experience running large multi-country organizations across Latin America and the Americas, including $300M+ P&L ownership. At Motorola Solutions, they transformed a transactional sales model into a strategic solutions engine, growing revenue from roughly $55M to over $300M in two years while driving major market share gains and leading complex government modernization deals.”

“International brand and growth marketing leader with experience at Paramount+, Adidas (HQ Germany), and Nike, known for building scalable playbooks and operating models that align creative/social/production across global franchise teams. Drove triple-digit engagement growth in 3 months at Paramount+ and launched Adidas Women’s #mygirls program, contributing to 200% YoY holiday sales growth through community-led storytelling, influencer/creator partnerships, and rigorous short-form testing across YouTube, TikTok, and Instagram.”

“Former Special Assistant at the National Security Council with experience supporting senior federal executives and handling national-security-sensitive information. Helped stand up and standardize operations for a large-scale refugee resettlement effort (60,000 people), creating an executive-driven exception/escalation process and partnering with dev and data teams to prioritize agile sprint work and improve reporting accuracy.”

Ravikanth Kasamsetty

Screened

Executive AI/ML Engineering Leader specializing in cloud-native SaaS and GenAI platforms

23y exp

“Engineering leader who modernized and unified a fragmented product suite at Milestone via a multi-year cloud-native roadmap, delivering an MVP in three quarters and boosting team velocity by 40% through cross-functional squads. At Prometheum, led a trust-building hybrid architecture (AWS control plane + customer-hosted data plane) using Kubernetes to ensure sensitive enterprise data never left customer networks while remaining cloud-agnostic across providers.”

Michael Smith

Screened

Principal-level finance leader specializing in venture-backed startups and strategic finance

New York, NY16y exp

“Repeat founder and former venture investor with 7 years of investing experience, now building a startup focused on fixing CPG trade promotion inefficiencies. The candidate articulates a differentiated product vision using predictive modeling and portfolio-wide cross-elasticity analysis rather than event-by-event TPM measurement, and is actively mapping the NY venture studio ecosystem to support 0-to-1 company building.”