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Jose Manuel De Jesus Rodriguez · Dominican Republic

Business Intelligence Developer

Software Engineer · Applied AI Builder

I build data, software, and applied AI systems that turn operational complexity into measurable decisions.

Jose Manuel De Jesus Rodriguez seated in a blue studio portrait
Jose Manuel De Jesus RodriguezBusiness Intelligence · Software Engineering · Applied AI
  1. 01Operational and executive analytics
  2. 02Data modeling and ETL
  3. 03Automation and software systems
  4. 04Power BI · SQL · Microsoft Fabric · Python · Next.js

Evidence before claims.

Web Solutions

Successment — Revenue Systems & Innovation Platform

I worked on the design and development of the Successment digital platform, a revenue operations and venture innovation firm focused on building scalable income systems for startups and institutions operating outside traditional ecosystems.

Successment — Revenue Systems & Innovation Platform

Technologies

  • Next.js
  • TypeScript
  • React

Related capabilities

  • Automation & Software Systems

Web Solutions

Digital Nomad Summit — Global Event & Experience Platform

I contributed to the design and structuring of the Digital Nomad Summit digital platform, an international event focused on innovation, remote work, entrepreneurship, and global mobility, hosted in the Caribbean with a worldwide audience.

Digital Nomad Summit — Global Event & Experience Platform

Technologies

  • Next.js
  • TypeScript
  • React

Related capabilities

  • Automation & Software Systems

Web Solutions

MTK Media — Corporate Website & Digital Platform

A fully custom corporate website designed and built to position MTK Media as a modern, strategy-driven creative agency.

MTK Media — Corporate Website & Digital Platform

Technologies

  • Next.js
  • TypeScript
  • React
  • Airtable
  • Cloudinary

Related capabilities

  • Automation & Software Systems

Business Intelligence

Fraud & Risk Intelligence Model

Predictive analytics and risk-scoring case study

Fraud & Risk Intelligence Model

System built

A multi-signal fraud risk model that scores actors independently and classifies them into Low, Medium, and High Risk levels to support operational prioritization.

Technologies

  • Power BI
  • DAX

Related capabilities

  • Analytics & Decision Systems

Evidence availableThe public GitHub repository includes the methodology, business interpretation, validation approach, and a complete PDF case study.

Privacy limitationsThe published case study uses QA and simulated data exclusively for demonstration and validation.

A real stack, organized by practice.

Data & BI

  • Power BI
  • DAX
  • SQL Server
  • Microsoft Fabric
  • Power Query
  • Pentaho
  • Microsoft Excel

Software

  • Python
  • C#
  • .NET
  • Next.js
  • TypeScript
  • React

Platforms

  • Supabase
  • Airtable
  • Cloudinary
  • REST APIs

Automation

  • Power Automate

A progression built from practice.

  1. 01

    Foundation

    Operational foundation

    Direct experience with processes, service execution, coordination, and operational control.

  2. 02

    Core practice

    Business Intelligence

    Turning operational information into models, dashboards, and repeatable decision support.

  3. 03

    Delivery layer

    Software systems

    Extending analytics with applications, integrations, interfaces, and automation.

  4. 04

    Current expansion

    Applied AI

    Building toward private, grounded assistants connected to documents, data, and tools.

Three connected areas, at honest stages.

01

Analytics & Decision Systems

Problems addressed
Business intelligence, semantic models, reporting systems, data preparation, and decision support.
Capabilities
  • Power BI
  • DAX
  • SQL Server
  • Microsoft Fabric
  • ETL
Evidence
Operational and executive analytics, semantic models, and data preparation workflows.

Current statusProfessional practice

02

Automation & Software Systems

Problems addressed
Software, integrations, applications, and automation built around operational workflows.
Capabilities
  • Python
  • Next.js
  • TypeScript
  • React
  • APIs
Evidence
Web applications, data-connected interfaces, automated processes, and maintainable delivery systems.

Current statusProfessional practice

03

Applied AI Experiments

Problems addressed
Applied AI experiments focused on private systems, document intelligence, RAG, and data-connected assistants.
Capabilities
  • Local AI
  • RAG
  • Document intelligence
  • Data-connected assistants
Evidence
JMDR Private Intelligence is being developed as a bounded environment for responsible experimentation.

Current statusIn development

The operating context behind the systems.

An operational foundation that evolved into data, software, and decision systems.

  1. 01

    Business Intelligence Developer

    Kids First Services

    2026 — Present

    Problem domain
    Business intelligence and organizational analytics.
    Contribution
    Business intelligence work within an organizational analytics context.
  2. 02

    Digital Brand & Web Infrastructure Associate

    Successment

    2025 — Present

    Problem domain
    Digital platforms, web infrastructure, and brand systems.
    Contribution
    Support for web infrastructure and digital brand systems.
  3. 03

    Business Intelligence Consultant

    SPN Software

    2025 — 2026

    Problem domain
    Analytics, data preparation, and decision-support systems.
    Contribution
    Business intelligence work using data preparation and decision-support methods.
  4. 04

    Operational Control Analyst

    Dominican Watchman

    2023 — 2025

    Problem domain
    Operational control, reporting, and process visibility.
    Contribution
    Operational control and reporting experience that established the portfolio's operational foundation.
  5. 05

    Supervisor

    Dominican Watchman

    2022 — 2023

    Problem domain
    Frontline operations and team coordination.
    Contribution
    Progressive responsibility in frontline operations and team coordination.
  6. 06

    Teller

    Dominican Watchman

    2020 — 2022

    Problem domain
    Transaction operations and service execution.
    Contribution
    The role marks the start of the verified operations-to-systems progression shown on this page.

JMDR Private Intelligence

An applied research track for private, local, and grounded AI systems—developed through careful research and reproducible prototypes.

StatusIn development

Current focus

  1. 01Private local AI
  2. 02Document intelligence
  3. 03Retrieval-augmented generation (RAG)
  4. 04Data-connected assistants
  5. 05Responsible experimentation
Current stageResearch & prototyping

Evidence will be published as experiments become reproducible.

Ideas, learnings, and published work.

Published notes

  1. Business Intelligence

    Why Most Dashboards Fail (And How to Fix Them)

    Most dashboards don’t fail because of bad tools—they fail because of bad design and lack of business understanding. In this article, we break down the real reasons and how to fix them.

    Read article
  2. Business Intelligence

    How Business Intelligence Drives Better Decision-Making

    Business Intelligence helps organizations transform raw data into actionable insights, improving decision-making, efficiency, and long-term performance.

    Read article
View all real articles

Technical work grounded in operations.

I am a Business Intelligence developer and software engineer based in the Dominican Republic. My foundation is operational: I learned how processes, controls, and frontline decisions work before moving deeper into analytics. That path now informs how I build data models, decision systems, software, and responsible applied AI experiments. The goal is continuity—systems that remain understandable, useful, and grounded in real work.

Jose Manuel De Jesus Rodriguez standing in a blue studio portrait
Jose Manuel De Jesus Rodriguez · Dominican Republic

Based inSanto Domingo, Dominican Republic

Current workBI · Data · Software · Applied AI

Current focusPrivate AI · RAG · Data-connected systems

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