Internal Container Logistics Platforms Development
Summary
Participation in internal development of container logistics platforms, ERP dashboard integration, and automated scheduling systems.
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
|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
|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
|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
|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
|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
Awarded By
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
Issued By
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
Issued By
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
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