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Raul Oliva

Raul Oliva

Supply Chain Data Analyst

Amazon | Spain


My Portfolio Highlights

My New Project

Introduction to DataCamp Projects

My New Course

Introduction to Python

Data ambassador, bridging the gap between numbers and human understanding.

My Work

Take a look at my latest work.


Introduction to SQL


Introduction to Python


Intermediate Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

North | Oct 2021 - Present

Operations Intern


Amazon | Mar 2020 - Aug 2020

Operations Intern

• 1500 man-hours/year saved on Pan-EU level through the creation of an automated tool that sought to decrease load rejections by carriers. • Provided support to Carrier Specialists in the execution of linehaul related projects. • Identified bottlenecks and developed tools to improve work flow.
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Transmarina C.A. | Jan 2016 - Jan 2018

Warehouse Manager

• Decreased product spoilage inside the warehouse by 70% through the implementation of inventory audits. • Increased availability in manufactured products by 25%, identifying seasonal trends in industry exports. • Reduction of truck loading times by 60% through identification of equipment, maintenance and personnel needs and redesign of layout and transit flow.

Pycca | Jan 2015 - Jan 2016

Data Analyst


Pica Plásticos Industriales C.A. | Jan 2012 - Jan 2013

Administrative Assistant

• Management of the administrative warehouse. • Drafting of Purchasing Orders. • Supplying and distribution of office supplies. • Budget control.

My Education

Take a look at my formal education

Master in Internationalization of SMEs University of Barcelona | 2022
Master in Logistics, Supply Chain and Maritime Business Universitat Pompeu Fabra - Barcelona | 2020
Bachelor in International Business Administration Universidad Técnica Federico Santa María | 2015

About Me

Raul Oliva

I strive to be a key component in the integration between Supply Chain and the Industry 4.0 by taking advantage of IT infrastructures and its development, in order to make data-driven decisions.

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