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

Led the GenAI Applied Math program delivering enterprise-grade datasets under multi-million-dollar engagements.

• Owned end-to-end queue management across concurrent data pipelines serving thousands of contributors while meeting aggressive SLAs.
• Defined task specs, scoring rubrics, and QA workflows for complex math (algebra → calculus → probability/stats), ensuring rigor and consistency.
• Built lightweight reporting to monitor throughput and quality; proactively unblocked pipeline issues and optimized staffing/priority.
• Authored SOPs and ran live trainings/webinars to align global teams and lift first-pass acceptance.
• Partnered with client stakeholders on edge cases and change requests; documented decisions and playbooks to reduce rework.

Crafted high-quality mathematics datasets for model training and evaluation.

• Wrote original, multi-step problems with fully worked solutions across calculus, linear algebra, probability, and discrete math.
• Balanced difficulty and topic coverage; tagged metadata and validated correctness through self-checks and peer review.
• Refined prompts and rubrics to remove ambiguity, improving clarity, solvability, and pedagogical value.

Supported Xbox’s Business Intelligence team with game and 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, attach/upsell).
• Owned “game health” readouts for select first- and third-party titles, translating telemetry into clear insights and next-step recommendations for PMs and marketing.
• Analyzed player funnels across Xbox/PC, diagnosing changes driven by title updates, features, and promotions; highlighted churn and reactivation drivers.
• Partnered with data engineering and product to standardize metric definitions and QA data quality, reducing reporting inconsistencies across titles.
• Delivered ad-hoc deep dives on Game Pass and Store merchandising experiments, informing prioritization of content placement and lifecycle campaigns.