01
Frame
Translate ambiguous business problems into measurable KPI frameworks and clear ownership.
Senior analytics and strategy leader translating complex data ecosystems into clear business direction, durable operating decisions, and measurable enterprise impact.
Snapshot
13+
Years in Analytics
3
Industries
20+
Major Programs

I turn messy business questions into shipped products by blending strategy, product judgment, and deep data execution from SQL and Python to AI-enabled decision systems.
01
Translate ambiguous business problems into measurable KPI frameworks and clear ownership.
02
Ship resilient data products and pipelines across SQL, Python, PySpark, and AWS architectures.
03
Drive adoption through governance, self-serve analytics, and cross-functional operating rhythms.
Skills pulse
Scalable pipelines, data models, and platform migration execution.
Across Amazon, Clarke, and Mercedes, I evolved from analytics execution to product and platform leadership, consistently turning data systems into measurable business outcomes.
Sep 2025 - Present
Amazon · Senior Analyst
Apr 2023 - Aug 2025
Amazon · Senior Business Analyst
Jul 2021 - Mar 2023
Amazon · Business Analyst II
May 2018 - Jul 2021
Clarke Power Services · Product Manager
Impact Story
Built KPI governance, modernized data platforms, and launched AI-enabled self-serve analytics.
$1.4M
Annual infra savings
40%
Less manual reporting
3+ yrs
Cross-border data coverage
GenAI
NL-to-SQL agent shipped
Capabilities In Motion
Each project started with a concrete operational bottleneck and ended with a measurable business shift in speed, cost, reliability, or decision quality.
Amazon Pharmacy · 2025
Cut insight turnaround from days to minutes for recurring pharmacy operations questions.
Clarke Power · 2020
Improved technician completion velocity by 60% while creating high-quality maintenance telemetry.
Impact Map
Shifted recurring analytics questions from analyst queue to stakeholder self-serve flow.
Days → Minutes
Insight turnaround
Recurring pharmacy ops questions resolved in-session.
NL → SQL
Interface delivered
Natural-language prompts converted into query-ready analysis.
Self-Serve
Decision velocity
Stakeholders run deep dives without waiting for analyst bandwidth.
How It Shipped
Documented schemas, join keys, and metric semantics.
Created reusable query patterns for operational questions.
Connected outputs to dashboard workflows for fast action.
Capability
Modeling resilient pipelines and data contracts that make downstream analytics faster and safer.
Capability
Designing reporting systems around decisions, not dashboards, so metrics drive concrete action.
Capability
Pairing model capability with governance, observability, and stakeholder trust to move from pilot to adoption.
Capability
Translating between product, engineering, and business teams to ship outcomes with clear ownership.
Short essays on analytics strategy and execution frameworks from real delivery contexts.