Not your typical data scientist.
I care about impact, not just fancy tools.

I have 12+ years of experience within Product and Customer Support orgs, working on company-wide projects like choosing OKRs & target-setting, to 600-person hiring plans, to more traditional data science work like ML modeling, A/B testing and deep-dives.

See SitterHelp Get in touch

Featured · Founder Project

SitterHelp.org

A better way for families and sitters to find each other and coordinate. I built this because Care.com, SitterCity, UrbanSitter, etc weren't that useful.

  • Designed and built solo with Lovable and Claude Code.
  • Focused on coordination — not just discovery — between families and sitters.
  • Onboarding real customers in mid-2026.
Watch the walkthroughVisit SitterHelp.org →

Selected work

12+ years of experience in the room with leaders.

  1. 2025.09 — PRESENT

    Sprout Social

    Senior Data Scientist — Product (Team Lead)

    • I wanted to return to a data-rich SaaS environment (my prior company was in insurance)
    • I currently informally lead a pod of 2–3 Senior/Staff data scientists embedded in Product. Main stakeholder: VP of Strategy & BizOps (reporting to CPO).

  2. 2024.02 — 2025.08

    Coalition Inc.

    Senior Data Science Engineer

    • After almost 6 years at Atlassian, I wanted to grow more technically by joining a smaller company. I turned down a Staff DS position at Block for what I believed to be a better learning opportunity at Coalition.
    • I was the most-tenured IC on a 14-person Data team; matured practice through deep-dives, A/B experimentation, and causal inference.
    • Presented product and metric deep-dives directly to the CPO and CTO. Partnered with MLOps to ship an LLM that classifies churn reasons — saving 3,000+ human hours every month.
    • Led cross-functional initiatives including a Customer Health Score and a Data Innovation Week.

  3. 2018.10 — 2024.02

    Atlassian

    Senior Data Scientist · Analytics Business Partner · Business Analyst

    • Nearly six years across Product and Support. Informal team lead for Enterprise Analytics — onboarded 6 hires and ran 5+ person projects.
    • Led a CMO/COO-sponsored project defining what "Enterprise" means for the company.
    • Helped Strategy, Finance, and Product baseline and target annual OKRs.
    • Co-owned the data-backed quarterly hiring plan for a 600+ person Support org (CRO-approved).
    • Built heuristic and ML models that grew Paid Support revenue ~40% YoY and surfaced the link between admin activity and app purchases — directly shaping product changes.

  4. 2017.10 — 2018.07

    Uber

    Strategic Insights Analyst — People Analytics

    • Reported on people flows, sentiment, internal mobility, and attrition through C-suite QBRs.

  5. 2016.01 — 2017.10

    Deloitte

    Consultant — Financial Advisory

    • Advised 20+ clients on expansion strategy, M&A, and commercial due diligence across industries.

Toolkit

Toolkit

The tools I use and years of experience with each.

  • SQL & ETL pipelines (dbt, Databricks)

    10+ years

    +

  • Dashboarding & BI (Tableau, Looker)

    10+ years

    +

  • Python & ML modeling

    10+ years

    +

  • AI stack for daily workflows (Claude Code, Copilot, Lovable)

  • Experimentation / A/B testing

  • Causal inference

Let's talk

Have a feeling you can understand or decide something better with your data?

I'm always happy to chat about data science leadership, product analytics, or what it takes to ship a side project to real customers.

Reach out on LinkedIn