Ruben Eduardo Gonzalez Nova

Industrial Engineer | Global AI & Data Solutions Architect

Santo Domingo, DO.

About

Multifaceted Industrial Engineer and Global AI & Data Solutions Architect with over 6 years of experience bridging industrial operations and technological innovation. Proven ability to design and implement robust data-driven systems, enhancing business intelligence, optimizing operational workflows, and supporting high-level strategic decisions. Adept at transforming complex business challenges into measurable technological achievements through expertise in large-scale logistics automation, real-time dashboards, and end-to-end systems development.

Work

GILDAN

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Developer Engineer

Santo Domingo, National District, Dominican Republic

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Summary

Led the architecture and development of IT systems, integrating Big Data frameworks and SSRS reports to optimize decision-making and enhance operational efficiency.

Highlights

Architected and deployed IT systems integrated with Big Data frameworks and SSRS reports, optimizing decision-making cycles and minimizing operational bottlenecks.

Developed and automated critical workflows, achieving a 30% reduction in time consumption for repetitive daily tasks.

Provided expert-level support for cross-functional IT teams, driving internal improvements in data architecture and process alignment with business KPIs.

Designed and implemented distributed systems for real-time data visualization utilizing Power BI and Azure DevOps pipelines.

GILDAN

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Analyst, Logistic Programmer – Regional Supply Chain

Santo Domingo, National District, Dominican Republic

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Summary

Spearheaded automation of logistics tools and developed dynamic dashboards, significantly improving reporting efficiency and data responsiveness for regional supply chain operations.

Highlights

Spearheaded automation of logistics tools using C programming, Git, and SQL-based systems, streamlining data connectivity and processes.

Created dynamic dashboards and executive reports, reducing reporting time by 40% and enhancing responsiveness for critical decision-making.

Built and maintained regional SQL/Access databases, improving tracking accuracy, reducing errors, and facilitating collaborative logistics management.

Managed daily synchronization and performance monitoring for interdepartmental logistics data sources, ensuring data integrity and operational continuity.

GILDAN

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Logistics Analyst Engineer (Programmer) – Supply Chain

Santo Domingo, National District, Dominican Republic

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Summary

Directed the integration of the GMLCA module and designed custom data tracking applications to enhance logistics data visibility and accelerate internal reporting.

Highlights

Directed the successful rollout and integration of the GMLCA module within logistics systems, enhancing data visibility and communication among import/export teams.

Designed custom data tracking applications and tools that accelerated internal reporting and provided real-time visibility across operations.

Conducted comprehensive training sessions for operations staff, ensuring consistent data quality and proficient usage of new tools across teams.

Developed Excel-based front-ends and VBA macros to automate complex reporting models, improving data processing efficiency.

ROCKWELL AUTOMATION

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Cycle Count Coordinator

Santo Domingo, National District, Dominican Republic

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Summary

Coordinated and monitored cycle counting processes across facilities, leveraging data analysis to improve inventory accuracy and streamline management.

Highlights

Orchestrated and monitored cycle counting across multiple facilities, maintaining data integrity and significantly improving inventory tracking.

Leveraged SQL and Excel to analyze patterns and forecast inventory discrepancies, achieving a 15% improvement in accuracy.

Developed robust tools and reports that streamlined physical inventory management processes, enhancing operational efficiency.

Facilitated root-cause analysis initiatives across warehousing and distribution teams, identifying and resolving systemic issues.

INDOTEL

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Administrative Logistics Assistant

Santo Domingo, National District, Dominican Republic

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Summary

Managed internal logistics and administrative processes, supporting digital transformation and project management initiatives.

Highlights

Managed internal logistics and administrative processes, including procurement, storage, and inventory of technical equipment.

Contributed to internal digital transformation efforts by standardizing documentation and tracking protocols, enhancing operational consistency.

Supported project management initiatives through effective cross-departmental collaboration and strategic resource planning.

Education

Harvard University

Cambridge, MA, United States of America
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Specialized Training Artificial Intelligence

Courses

Search Algorithms (DFS, BFS, A*)

Knowledge Representation

Inference Engines

Machine Learning (Supervised Learning Models)

Neural Networks

Adversarial Game Theory

Practical Python Implementations

Harvard University

Cambridge, MA, United States of America
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Rigorous Introduction Computer Science

Courses

Problem-Solving through Abstraction

Algorithms

Data Structures (Arrays, Stacks, Queues, Linked Lists, Trees, Hash Tables)

Memory Management

Software Engineering

Web Development

Universidad Autónoma de Santo Domingo

Santo Domingo, National District, Dominican Republic
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Bachelor Industrial Engineering

Instituto Politécnico Cardenal Sancha

Santo Domingo, National District, Dominican Republic
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Technical Degree Business Logistics

Awards

Winner, Business Plan Competition – UASD Emprende

UASD Emprende

Recognized for innovation in entrepreneurial project development and pitching.

Languages

Spanish

English

Certificates

Python Data Science & Big Data

Power BI Esencial

Big Data Visualization

Excel Business Intelligence 1

Excel BI: Power Query (365/2019)

Business Analysis

LinkedIn Learning

Fundamentals of Finance: Economic and Financial Terminology

R Big Data Esencial

GitHub for Programmers

Data Science

Financial data analysis

Fundamentals of Big Data: Business Models

Essential Data Mining

Big Data Professional for Business

Programming Fundamentals: Databases

Data Analyst

SparkContext, SparkConf & Spark Shell

Packt / Gildan Academy

Skills

Programming Languages & Frameworks

Python, SQL, C, VBA, R, Scala, Git, C Programming.

Data Analytics & Visualization

Power BI, Tableau, Excel, SSRS, Access, KPI Dashboards, Real-time Operational Monitoring, Data Storytelling, Graphical Insight Generation, Business Metric Visualization, DAX Calculations, DevExpress Dashboards.

Big Data & Architecture

Spark, Hadoop, NoSQL, ETL Pipelines, Cloud Data Architecture, Azure, GCP, Big Data Analysis, Big Data Processing, Apache Spark Architecture, Distributed Computation.

DevOps & Automation

Azure DevOps, Nginx, Docker, Gunicorn, Git, CI/CD, Workflow Scripting, GitHub Actions, Git Version Control.

Database Management

SQL Server, Relational Databases, Non-Relational Models, SQL Performance Tuning, Schema Design, Normalization.

Core Competencies

Machine Learning, Data Modeling, Process Optimization, Technical Support, Agile Methodologies, Business Intelligence Systems, Digital Transformation, Custom Tool Development, End-to-End Logistics Systems Engineering, Problem-Solving, Strategic Planning, Stakeholder Management.

Business & Finance

Business Analysis, Financial Ratios, Forecasting, Business Model Interpretation, Return-on-Investment Models, Data-Driven Culture, Scalability Issues.

Data Science

Data Exploration Workflows, Data Mining Methodologies, Pattern Recognition, Outlier Detection, Association Rules, Predictive Analytics, Scientific Computing.

Web Technologies

Flask APIs, ASP.NET WebForms Integrations.

Caching

Redis.

Interests

Machine Learning

Supply Chain Optimization, Sustainable AI Systems, Democratization of Data Access.

Projects

Internal Container Logistics Platforms Development

Summary

Participation in internal development of container logistics platforms, ERP dashboard integration, and automated scheduling systems.

Data-Based Internal Process Improvement Initiatives

Summary

Co-founded data-based internal process improvement initiatives within manufacturing and logistics sectors.

References

Gamalier Oviedo

EHS Supervisor, Contact: (809) 857-3666

Luis Aquino

Software developer, Contact: (829) 648-9742

David Mendez

Data Analytics Engineer | Quality Engineer, Contact: (829) 404-2193

Ivan Caballo

IT Manager / IT Project Management, Contact: (829) 548-3816