Mission-Critical Data Systems, From Infrastructure to Intelligence

DataSci designs, integrates and governs the systems organizations depend on to turn complex data into reliable decisions — spanning physical compute infrastructure, software and data architecture, predictive analytics, and model governance.

Puerto Rico-based · Technology-agnostic · Built for environments where reliability, transparency and human oversight matter.

Founded in 2024


Discuss a Project

Data & Intelligence Systems

We develop the software, analytics and governance layers that transform operational data into reliable decisions.

Data pipelines, ETL and API integration

Predictive modeling and forecasting

Anomaly and fraud detection

Decision-support and monitoring dashboards

Model validation and performance monitoring

Model governance, auditability and human-in-the-loop workflows

Critical Physical Infrastructure

Critical Physical Infrastructure

We plan and coordinate the physical systems required to support mission-critical computing and data operations.

Site and utility feasibility

Power, water and resilience strategy

Facility and MEP integration

Environmental review and permitting

Engineering and contractor coordination

Construction oversight and commissioning

Specialized compute and IT partners as required

Three Layers, One Accountable Team

DataSci can engage at any layer — or coordinate across the full stack.

Why DataSci

Cross-Layer Technical Leadership

We work across data, software, analytics, infrastructure and operations rather than optimizing one component in isolation.

Tool-Agnostic Integration

We integrate client-selected technology, existing systems and specialized partners instead of locking projects into a proprietary stack.

Governance by Design

Reliability, monitoring, human oversight and auditability are built into the system rather than added after deployment.

Leadership

Keven J. Laboy-Juárez, PhD

Founder & CEO | Data, Analytics & Project Integration

Data scientist and technical program leader with experience spanning predictive analytics, model governance, optimization, software, and advanced scientific data. His professional work includes Banco Popular, Cela Advisors, the Puerto Rico Science, Technology & Research Trust and the University of Puerto Rico, with scientific training at UC Berkeley and Harvard. At DataSci, he leads client strategy, analytical architecture, multidisciplinary technical teams, partner coordination and overall project integration.

Luis "Billy" Laboy, PE, MBA

Facilities & Critical Infrastructure Lead

Professional Engineer and former senior facilities executive with decades of experience across utilities, energy, reliability, environmental compliance, permitting and capital projects, including facilities leadership for Medtronic across Latin America. His Puerto Rico experience spans utility and government coordination, infrastructure planning, environmental strategy, contractor management and operational optimization. He has served as Environmental Committee Chair for PRMA and led initiatives generating six-figure savings through energy and waste optimization. He leads DataSci's physical infrastructure practice, including site feasibility, power and water strategy, MEP coordination, permitting, construction oversight and commissioning.

Representative Work

Financial Analytics & Model Governance

Investment Analytics

Advanced Scientific Data

Operational & Research Systems

Fraud analytics, validation, monitoring and governance frameworks for regulated financial environments.

API-driven market and macroeconomic analytics, ETL pipelines, backtesting and strategy optimization for Cela Advisors.

High-dimensional biological, proteomic and multi-omic analytics supporting complex R&D programs.

Custom data infrastructure, analytical workflows and technical integration for industrial and academic clients.

Selected Clients

Cela AdvisorsDarrow IndustriesUniversity of Puerto RicoPuerto Rico Science, Technology & Research Trust

How We Engage — Flexible by Design

1

Advisory

Technical diligence, feasibility and strategy.

2

Build & Integrate

Software, analytics, infrastructure and partner-led implementation.

3

Validate & Govern

Independent model validation, monitoring and ongoing governance.

4

Full Project Integration

One accountable team coordinating internal stakeholders, engineering firms, technology vendors and specialized contractors.

Building a System That Cannot Afford to Fail?

Whether the challenge begins with physical infrastructure, fragmented data, predictive analytics or model governance, DataSci can help define the architecture and assemble the right team to deliver it.

Keven J. Laboy-Juárez, PhD · CEO, DataSci LLC · klaboy@datasci.solutions

DataSci LLC — Puerto Rico Based · People · Systems · A More Resilient Tomorrow