Roberto – DATA 📊

Hi, I'm Rober

I turn data into insights

I am a self-starter and eager to further develop my career. My experience in data management, modelling and visualisation has allowed me to develop strong analytical skills and the ability to turn data into meaningful insights and strategic actions.

PROACTIVE

ANALYTICAL

PROBLEM SOLVER

PROACTIVE

PROBLEM SOLVER

ANALYTICAL

More abot me

Pursuing my Bachelor’s Degree in Applied Statistics at Universidad Complutense de Madrid was a pivotal experience. It provided me with a deep understanding of statistical concepts and their practical applications, setting the stage for my subsequent ventures in data analysis and management.

My Digital Marketing Agency project was one of my most significant learning experiences during my time studying my Bachelor’s Degree. It taught me the value of being self-reliant, staying consistent and tackling challenges independently.

My journey through the Master’s program in Big Data was transformative. It equipped me with advanced skills in data architecture, new generation databases and cloud services, laying a solid foundation for my career as a Data Engineer.

Joining Albeit Capital marked a significant milestone in my career journey. Here, I have joined the cryptocurrency ecosystem. This role challenged me to analyze on-chain data (through APIs and tools like Dune Analytics) identify opportunities for process improvement and develop innovative solutions to enhance data-driven decision-making.

At Plutus, I focused on understanding the client’s needs to gather data, comprehend it, and work with it to make decisions when altering service conditions and features.

Spearheading the development of DEXBooster has been a rewarding endeavor. From designing cloud architecture to implementing real-time data updates and machine learning models, this project has allowed me to showcase my technical prowess and creativity in leveraging data for strategic insights.

These are the primary tools and technologies utilized for data analysis and management.

These skills enhance the efficiency and effectiveness of data management workflows, facilitating seamless integration and analysis of diverse datasets.

And it’s not just about acquiring and managing data, but also about what to do with it. To achieve this, it’s essential to understand the nature of the data and leverage it to extract trends, insights, etc.

It’s also crucial to effectively present data for swift decision-making and navigate through it to draw conclusions.