Jorge A. Arroyo

Analytics Engineer & Developer

Independent Practice // xP&A + Data Engineering

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01 / Principles

Sixsides

People, processes, technology, data, analytics, and governance have to move together.

FPeople

People know where the work bends and breaks. Their judgment belongs in the design.

RProcesses

Automation works best after the process makes sense. A faster bad process is still a bad process.

BTechnology

Systems work better when they connect cleanly. Data should move without constant repair.

UData

Good decisions need data people can find, understand, and trust. Clear definitions matter as much as clean records.

DAnalytics

Analytics should make a decision clearer. The method should fit the question, and the result should be explainable.

LGovernance

Clear rules make responsible use easier. People should know who decides, who owns, and who checks.

02 / Services

How I can help your business

Financial Modeling & Analysis

CFOs · founders · investors · M&A

Comprehensive financial models built for strategic decisions and growth, not for a drawer.
- Integrated 3-statement models
- Driver-based budgeting & forecasting
- DCF & business valuation
- Scenario planning & sensitivity analysis
- Puerto Rico private company valuation
- Startup financial planning for funding
Data & Business Intelligence

Ops leaders · BI heads · data silos

End-to-end BI on Microsoft Azure, from raw source systems to dashboards people actually open.
- Azure data architecture & warehousing
- ETL/ELT pipeline development
- Power BI dashboards & reporting
- Data modeling & governance
- Custom advanced analytics
- Predictive modeling & forecasting
Custom Analytics & Data Products

Monitoring · market intel · public reporting

Live, decision-ready data products on automated pipelines.
- Real-time economic & market dashboards
- Automated pipelines: scraping, ETL, cloud DB
- Forecasting & predictive modeling
- Economic indicators & monitoring
- Interactive, public-facing dashboards
- Ongoing data refresh & maintenance
AI & LLM Solutions

Teams separating capability from hype

Evidence-based AI implementation grounded in hands-on research. Practical gains, not hype.
- LLM workflow automation & tooling
- AI literacy & agentic tool enablement (Claude Code, Codex)
- Model evaluation & validation
- Document & data extraction
- Realistic AI opportunity assessments
- Analysis-time reduction & process automation

Process

A path to AI that works.

Some AI can start on day one. AI trusted with decisions and sensitive work follows a path.

ListenStart with the people who do the work. Learn how it really runs, not how it’s documented.
MapFollow real work from start to finish: every handoff, re-typed number and exception.
DiagnoseFor each manual step: can the system not do it, or has nobody turned it on?
Connect & centralizeSystems pass data to each other, and there’s one place where the numbers agree.
PrioritizeSize the value of each opportunity and give it an owner. Quick wins first.
Apply AIPut AI to work where the data is ready: reading documents, sorting requests, forecasting, answering questions.
Keep it workingHuman review, a fallback, and a measure that shows it’s paying off.

01Inventory
List processes · measure today
02Map
How work is actually done
03Check
What can connect · who allows it
04Diagnose

not stable Stabilize
stable
05Prioritize
Rank · owner · measure
06Plan

ConnectCentralizeIntelligence

each with a fallback
07Automate
Validate before relying on it
08Operate
Monitor · improve

What do you want to build?

03 / About

Jorge A. Arroyo

With over 10 years immersed in finance and analytics, I saw a critical need among local businesses: the need to bridge the gap between complex financial planning and the wealth of operational data often locked away in separate systems. SENS ADVISOR was born from an idea to address this: to empower organizations by integrating these domains through expert Extended Planning & Analysis (xP&A) and full-stack enterprise application development that transforms how businesses manage their financial and operational workflows.

I mainly focus on designing and deploying cloud-based xP&A and Business Intelligence systems using Microsoft Azure, Power BI, and advanced Excel techniques, while also architecting sophisticated full-stack business applications with enterprise-grade security, role-based access control, and real-time data synchronization.

Since 2022, I've pursued AI and LLM research as a purposeful hobby to stay current with rapidly evolving technology and to rigorously test what works versus what doesn't in real business implementations. This is how I maintain a ground-truth understanding of AI's current capabilities and limitations which allows me to provide clients with realistic assessments of AI opportunities, honest guidance on implementation risks, and evidence-based recommendations for efficiency gains.