I'm Jack Doughty.

Focused particularly on data science and analytics, along with data visualization

Picked up the fundamentals of machine learning and wrote a thesis on Optimizing Paths in a Weighted Plane

Joined as a Human Data Manager and earned four promotions in eight months, moving through Human Data Lead, Associate Strategic Project Lead, and Strategic Project Lead to Strategic Account Lead.

• Own a strategic enterprise account end to end as its primary point of contact, driving the human-data and evaluation work from scoping and pricing through delivery, renewal, and ARR expansion.
• Lead multi-workstream delivery across benchmark builds, model evaluations, and data audits, holding quality, timelines, and margins on track at the same time.
• Built quality-control harnesses and audit pipelines that catch scoring and labeling defects before they reach the client, protecting delivery accuracy on high-stakes datasets.
• Stood up the queue, staffing, and QA playbooks the human-data teams still run on, turning ad hoc processes into repeatable operations as headcount scaled.
• Partner with client stakeholders on rubrics, edge cases, and roadmap, translating open-ended research goals into concrete task specs and acceptance criteria.

Led delivery across enterprise engagements representing $10M+ in ARR, shipping production-grade datasets and pioneering benchmarks under high-stakes timelines.

• Owned end-to-end queue management across concurrent data pipelines serving thousands of contributors while meeting aggressive SLAs.
• Partnered directly with Fortune 500 clients to scope and produce custom datasets to spec.
• Defined task specs, scoring rubrics, and QA workflows for complex math (algebra → calculus → probability/stats), ensuring rigor and consistency.
• Helped lead ENIGMAEVAL, an innovative benchmark for evaluating long multimodal reasoning in state-of-the-art ML models, published on arXiv (hosted by Cornell University).
• Built lightweight reporting to monitor throughput and quality, and cleared pipeline bottlenecks while optimizing staffing and priority.
• Authored SOPs and ran live trainings and webinars to align global teams and lift first-pass acceptance.
• Partnered with client stakeholders on edge cases and change requests, documenting decisions and playbooks to cut rework.

Supported a Microsoft Business Intelligence team with consumer platform analytics used in weekly business reviews and go-to-market decisions.

• Built and maintained Power BI dashboards tracking acquisition, engagement, and monetization (DAU/MAU, retention cohorts, session length, conversion, upsell).
• Owned product health readouts across the portfolio, turning telemetry into clear insights and next-step recommendations for PMs and marketing.
• Analyzed user funnels across platforms, diagnosing shifts driven by product updates, features, and promotions, and flagged churn and reactivation drivers.
• Partnered with data engineering and product to standardize metric definitions and QA data quality, cutting reporting inconsistencies across the portfolio.
• Delivered ad hoc deep dives on merchandising and lifecycle experiments, informing prioritization of content placement and campaigns.