INDUSTRIAL ENGINEER
& DATA ANALYST.

Cúcuta, Norte de Santander, Colombia - UTC/GMT +5

Hi, I’m Pedro Suarez

Efficiency that drives results4 Years of Experience

Industrial Engineer with experience in database management and non-relational languages. Skilled in programming and software automation, making me a valuable asset to any team. I have worked on various data analysis projects, utilizing tools like Python to efficiently gather, process, and analyze data. I excel at identifying patterns, extracting relevant information, and presenting results clearly and concisely. With effective communication and a proactive problem-solving approach, I tackle complex challenges methodically and find innovative solutions.

Technologies & Tools

Data Engineering

I design and implement scalable data pipelines and architectures to support data analytics and machine learning models.

ETL, Data Warehousing, Cloud Platforms (AWS, GCP, Azure), Data Lakes, Big Data Solutions

Developed ETL pipelines for processing 10TB of data daily at Company X.
Optimized data storage on AWS Redshift, reducing costs by 30%.
Implemented a real-time data processing solution using Apache Kafka and Spark.

RPA Engineering

I automate repetitive tasks using Robotic Process Automation (RPA) tools to increase efficiency and reduce human error.

UiPath, Automation Anywhere, Process Mining, Intelligent Automation

Designed and deployed RPA bots that saved 200 hours per month in invoice processing.
Created automated workflows using UiPath to handle data entry tasks, improving efficiency by 50%.
Integrated RPA with legacy ERP systems to automate end-to-end order processing.

Automation Engineering

I design and implement automation solutions that improve operational efficiency across various domains.

CI/CD, Infrastructure as Code (IaC), Docker, Kubernetes, Jenkins, Ansible

Built CI/CD pipelines for a multi-cloud environment, reducing deployment times by 60%.
Automated infrastructure provisioning using Terraform and AWS CloudFormation.
Developed and maintained Dockerized applications, enhancing scalability and deployment speed.

Process Engineering

I analyze and optimize business processes to improve efficiency, reduce costs, and enhance overall performance.

Six Sigma, Lean Manufacturing, Process Mapping, Continuous Improvement

Led a Lean Six Sigma project that reduced cycle time by 40% in a manufacturing line.
Implemented process mapping and re-engineering to streamline the supply chain process, resulting in a 25% cost reduction.
Conducted process audits and recommended improvements that resulted in a 15% increase in productivity.

Industrial Engineering

I apply engineering principles to optimize complex systems, focusing on efficiency, sustainability, and cost management.

Operations Research, Optimization, Facility Layout, Capacity Planning

Optimized a facility layout that increased production output by 20% without additional costs.
Applied operations research techniques to improve resource allocation, leading to a 30% reduction in idle time.
Designed capacity planning models that aligned production with demand forecasts, improving delivery timelines.

Data Analysis

I perform data analysis to derive actionable insights that drive business decisions, focusing on data-driven strategies.

SQL, Python, R, Tableau, Power BI, Statistical Analysis, Machine Learning

Analyzed large datasets using Python and R to identify trends that informed strategic decisions.
Developed interactive dashboards in Tableau and Power BI to visualize key performance metrics.
Built predictive models using machine learning techniques, improving forecasting accuracy by 25%.

INDUSTRIAL ENGINEER & DATA ANALYST.