Rumana Patel

I build governed data products that teams can trust and serve themselves from. At EasyPark I built and owned the group finance reporting layer across 25+ legal entities, with testing and data contracts built in, and made it AI-ready through semantic views and evaluated Cortex agents. At Synthesia, I rebuilt ad-hoc, ungoverned reporting into a documented self-serve platform used by 50+ stakeholders.

My path into data wasn't linear. I qualified as a pharmacist before moving into analytics, so I understand clinical workflows and the weight of getting data right.

That background shapes how I work with stakeholders: I start from the problem, not the data.

Analytics Engineer (Finance Data) - EasyPark Group

(2025-05)

• Reduced month-end close from Day 10 to Day 4 by replacing manual reconciliation workflows with production dbt models
• Built and led the finance data layer across 25+ legal entities, covering PSP reconciliation (Stripe, PayPal), trial balance, intercompany eliminations, and deferred revenue
• Enforced data quality with dbt tests and data contracts, including accounting controls such as debits-equals-credits and intercompany-nets-to-zero, catching errors before they reached reporting
• Built semantic views in Snowflake for Cortex agents, giving business stakeholders governed natural-language access to metrics through Snowflake CoWork
• Versioned semantic views and agent context, and ran agent evaluations so AI answers stayed accurate, governed, and reproducible
• Built a FinOps dashboard to track and forecast AI token consumption across agents, giving the business visibility into model spend

Business Intelligence Analyst (Revenue Data Platform) - Synthesia

(2024-09 - 2025-04)

• Rebuilt an ungoverned reporting setup into a governed self-serve revenue platform with documentation and a data catalogue
• Enabled 50+ stakeholders across Product, RevOps, and Customer Success to self-serve, reducing ad-hoc data requests from ~10/week to 1-2
• Modelled product and event-level data with custom time-based macros, replacing one-off queries with reusable models
• Freed a three-person data team to shift from request fulfilment to platform development

Commercial Data Analyst - GWI

(2023-07 - 2024-08)

• Built the company-wide executive scorecard in BigQuery, giving leadership daily visibility into metrics previously reported weekly or monthly
• Introduced dbt modelling practices to a team new to them, replacing ad-hoc queries with tested, documented models and freeing a resource-limited data team for higher-value work
• Built the company's first Tableau dashboards, surfacing non-converting campaign spend to marketing

GTM Finance Analyst (FP&A) - GWI

(2022-03 - 2023-07)

• Replaced a crash-prone Excel contract tracker (50+ columns, manual PDF entry) with Salesforce CPQ, building the supporting data infrastructure and reverse ETL pipeline
• Automated ARR and renewals reporting in BigQuery, replacing manual Salesforce exports and spreadsheet workflows

Earlier Career - Various

(2014 - 2022)

Trained as a pharmacist (MPharm, UCL) and worked in patient-facing healthcare, where data accuracy and clear communication directly affected patient care. Founded Gilded, an e-commerce brand featured on Netflix and at Paris and New York Fashion Weeks; grew site traffic 200% through analytics-driven A/B testing.

MPharm - Pharmacy - University College London (UCL)