Data Analyst
and Business Economist

Most data analysts think in queries. I think in business outcomes first — then figure out what query gets us there.

That's the economist in me. And it's why the work tends to stick.

Isabella Rondon
Background

I have a degree in Business Economics with a minor in Data Analysis. I spent 5 years at a B2B financial services company — starting as the data and operations lead for their portfolio of 400+ corporate clients, building automated pipelines that eliminated multi-day reconciliation meetings, cutting reconciliation errors by 99%.

From there, I was promoted to manage my own portfolio of 20-30 corporate clients — making the daily call on pricing, comparing market rates against our desk's position. Those decisions generated $1.5M+ in net profit — and they're why I never look at a dataset without asking what it means for the business, not just what it says.

Now I work independently with early-stage startups in the US — building the data layer that lets them scale without a full in-house team.

How I Work

100% remote. Available ET hours. I work from wherever I am — no office politics, no overhead, full focus on your project.

I prioritize documentation and clean handoffs — so your team can understand, maintain, and build on what I deliver.

Every engagement is clearly scoped with defined deliverables and timelines. You know what you're getting and when it's done — before we start.

Python
PostgreSQL
MySQL
GCP
BigQuery
Google Sheets
Power BI
Tableau
Looker
n8n
OpenAI
Anthropic
Python
PostgreSQL
MySQL
GCP
BigQuery
Google Sheets
Power BI
Tableau
Looker
n8n
OpenAI
Anthropic
Selected work on GitHub
End-to-End Retail Data Ecosystem
Full data pipeline from ingestion to visualization for retail analytics.
Multilayer Perceptron
Neural network implementation from scratch in Python.
Work together

Ready to build the data foundation your startup actually needs?

Book a 30-minute discovery call. We'll figure out exactly what you need — and whether I'm the right person to build it.

Book a Discovery Call  → No commitment. 30 minutes.