Alejandro Farinas
Work
Throughout my career, I've had the opportunity to work with renowned companies where I've
accumulated a wealth of experience. At T-Mobile, I was part of the Accounting Department, a role
that honed my precision and analytical skills as I navigated the complex world of telecommunications
finance. This position not only sharpened my ability to manage intricate financial systems but also
deepened my understanding of the economic drivers within the tech industry.
Later, I transitioned to Amazon, where I worked in logistics. This role was pivotal as it immersed me
in the dynamic environment of global supply chains and distribution strategies. At Amazon, I learned
the art of balancing operational efficiency with customer satisfaction, managing the flow of goods with a keen eye on timely delivery and resource optimization. Each day brought new challenges and learning opportunities, further enriching my professional journey
Education
My educational journey has been deeply intertwined with my passion for technology and data. I began my academic pursuits in Nicaragua, where I earned a degree in System Engineering. This foundational experience equipped me with an understanding of complex systems and their real-world applications.
Seeking to delve deeper into the digital realm, I furthered my education in Computer Networking. this specialized training provided me with critical insights into the interconnected world of information technology, enhancing my technical skills and my ability to design, implement, and manage networks effectively.
Continuing my commitment to lifelong learning, I studied Data Analytics at Google. This prestigious opportunity allowed me to master the tools and methodologies necessary to analyze large datasets, Uncover patterns, and drive decision-making processes. The knowledge gained through this program has been instrumental in my ability to interpret and utilize data to tell compelling stories and make informed business decisions.
Data Science
Educational Research
A catalog of my data analytics projects, in the form of scripts and notebooks, fully open-sourced on GitHub
A catalog of my scholarly projects completed, focusing on deep learning, machine learning, recommendation systems, and computer vision.