Vetted Customer Segmentation Professionals

“GTM/Revenue Operations-style leader who rebuilt a company’s go-to-market motion at IFS Loops while running cross-functional execution across Sales, CS, Product, and Marketing. Implemented an executive operating system (cadences, Notion dashboards, decision logs, briefing packets) that cut urgent escalations ~40% and freed 20–30% of CEO/CRO time, while delivering a pricing launch that drove >10% ACV uplift and improved activation/retention.”

Abhay Murjani

Screened

Director-level Data Science Manager specializing in ML forecasting, experimentation, and MLOps

New York, NY6y exp

“Data/ML engineer with experience at American Express and Amazon, owning an end-to-end rewards redemption/liability ML pipeline (~200GB) with rigorous regulatory/audit validation and quarterly executive reporting. Also built web-scraped product datasets with anti-bot protections at a startup and helped modernize an authn/authz service using AWS, plus led early-stage migration work from an internal warehouse to GCP with CI/CD and cloud observability.”

“Brand and growth marketer from True Religion who helped refresh the brand during a comeback period, driving 30%+ YoY DTC growth and positioning DTC as the top growth engine. Experienced leading seasonal multi-channel launches and scaling acquisition through creator-led social, email, and paid digital, with strong creator/talent deal negotiation and culture-driven storytelling.”

“Active in the venture ecosystem as a Rogue Women's Fund fellow and angel investor, with memberships in Gaingels and Angel Squad (HustleFund). Interested in founding a company to leverage extensive experience, and evaluates ideas through market need and economic viability of the target population.”

“Data engineer at Plaid who built greenfield, end-to-end real-time transaction pipelines and FastAPI data services for fraud detection and analytics, handling millions of events per day. Strong focus on reliability and data integrity via Great Expectations validation, Airflow-based monitoring/SLAs, quarantine/staging patterns, and robust external data ingestion with schema versioning and backfills (reported 50% fewer anomalies and ~40% fewer failures).”

“Entrepreneur building a bootstrapped AI-based personal agent (inspired by Claude desktop) aimed at making AI assistance accessible to non-technical users. Motivated by improving individuals' daily lives by helping them organize their day and offload simple, repeatable tasks; plans to explore VC/accelerator options but has not raised capital yet.”

Michelle Lu

Screened

Senior Customer Success Manager specializing in B2B SaaS retention and expansion

Pleasanton, CA8y exp

“Enterprise CSM with martech/market-intelligence background (Pulse and Gartner context) who owns accounts end-to-end from onboarding through renewal and expansion. Known for executive-level value narratives (e.g., CPO using benchmarks in a board deck), multi-threading across Product and Legal, and using usage/segmentation analytics plus activation tactics (A/B testing, targeted messaging) to drive adoption and renewals.”

Ishwari Mulay

Screened

Intern Data Scientist specializing in analytics and healthcare data

Philadelphia, PA1y exp

“Analytics candidate with AstraZeneca internship experience building scalable SQL and Python workflows on large healthcare datasets. Stands out for combining data engineering, reporting automation, and applied machine learning— including an end-to-end patient no-show prediction project that achieved 76.8% accuracy and reduced no-shows by 18%.”

“Commercially driven founder/operator with hands-on fundraising experience across angels, family offices, SPVs, VC, and PE-backed brands. Helped MATE.bike raise a $10M Series A and supported K-Way's US market development, while currently building a startup with up to $3.9M in soft commitments.”