This live board tracks Puerto Rico's power grid, generation, and reservoirs from public feeds. I'm Jorge, an xP&A and data consultant who turns messy financial and operational data into systems that ship—and keep working.
Comprehensive financial modeling solutions for strategic decision-making and business growth.
Ideal for: CFOs, startup founders, investors evaluating PR opportunities, M&A transactions
End-to-end BI solutions leveraging Microsoft Azure cloud platform for actionable insights.
Ideal for: Operations leaders, IT/BI heads, organizations with data silos, cloud migration projects
Live, decision-ready data products built on automated pipelines — from real-time monitoring to predictive models.
Ideal for: organizations needing continuous monitoring, market intelligence, or data-driven public reporting — see live examples under Analytics
Evidence-based AI implementation grounded in hands-on research — practical gains, not hype.
Ideal for: teams considering AI, automating research and reporting, or separating real capability from hype
Interdisciplinary research spanning applied econometrics, urban economics, and AI safety
Using staggered difference-in-differences on a decade of quarterly municipality data, this study finds a municipality's first sizable industry entries deliver large, persistent local employment and wage gains — but only small net gains once neighboring-area spillovers are netted out.
VIEW ON ARXIV →A multi-outcome synthetic-control evaluation of San Juan's late-night alcohol ordinance finds meaningful economic reallocation across restaurants, bars, and hospitality — but no clear change in public-disorder or violent-crime measures.
VIEW ON ARXIV →Tract-level machine-learning evidence that post-Hurricane María upgrading concentrated selectively in low-income neighborhoods with higher education and lower residential mobility — a path-dependent gentrification, with vulnerability measures to guide anti-displacement policy.
VIEW ON SSRN →Argues "self-regulating" bio-inspired AI doesn't remove externally imposed objectives but relocates them — and proposes separating an explicit Safety Envelope from an internal Adaptive Space to keep normative authorship auditable and governable.
VIEW ON SSRN →Estimates the municipal economic incidence of Puerto Rico's 2020–2025 electricity shortfalls and shows that aggregate stress indicators fail to reveal where the burden actually lands.
VIEW ON SSRN →Builds a 2002–2022 IRS Statistics of Income panel mapping the U.S. corporate footprint by foreign owner jurisdiction — documenting persistent concentration and weak alignment between asset scale and reported profitability, with Puerto Rico situated in the distribution.
VIEW ON SSRN →Argues Puerto Rico's macro-accounting problem is institutional, not technical — economically "external" yet statistically "internal" to U.S. accounts — so GDP modernization alone can't resolve ambiguity about resident income and external dependence.
VIEW ON SSRN →A diagnostic companion that tests whether Puerto Rico's published aggregates (GDP, GNP, BOP) form a closed, coherent system — using official PRPB and BEA methodology quotations to pinpoint measurement gaps and their policy consequences.
VIEW COMPANION →Puerto Rico GO-spread models show strong in-sample fit yet collapse out-of-sample — a forensic audit pins the cause on a short rolling-standardization window that manufactures false predictability.
VIEW ON SSRN →Reframes financial fragility as a governance and diagnostic problem rather than a forecasting one — showing how leverage, funding dependence, and crowding accumulate quietly in calm periods, with practical guidance for monitoring and stress-testing.
VIEW ON SSRN →Chronicles how Puerto Rico's cooperative credit unions weathered the 2013–18 collapse in their government-debt holdings — a legislative accounting override (Act 220-2015) that deferred loss recognition, paired with common-bond depositor loyalty that prevented the deposit flight which would have forced bond liquidation at distressed prices.
VIEW ON SSRN →xP&A & Data Consultant · Analytics Engineer & Developer
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.
SENS ADVISOR
Grupo Cabrera
Public Corporation for Supervision and Insurance of Cooperatives
Government Development Bank for Puerto Rico
NYU Stern Executive Education
BarcelonaTech
University of Illinois Urbana-Champaign
University of Puerto Rico
University of Puerto Rico
Ready to transform your planning and analytics? Let's discuss your specific needs.