Introduction

I’m 28 years old and proudly from Argentina. Yes!!! The land of tango, incredible steak, amazing people, and of course, the 2022 World Cup Champions!

During this 6 years of expertise, I’ve had the privilege of collaborating with companies of all sizes across the globe. My mission? To empower organizations by enabling data-driven decisions, automating workflows, and always striving for excellence.

Throughout my career, I’ve taken on various roles within data analysis. I started my journey performing root cause analyses, transitioned into product analysis, and later focused on operational analysis for businesses. Over time, I’ve honed my expertise as a Data Analyst with solid experience in Data Engineering. Today, I like to think of myself as a full-stack professional in the data realm.

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Timeline

A brief history

Data Analyst

2022-present
Work

Fluid Truck

Currently working as a Data Analyst with Data Engineering expertise, delivering insights, automating processes, and enhancing operational efficiency.

Freelancer

2021-present
Work

Fiverr / UpWork

Collaborated on Data Analysis and Web Development projects, providing tailored solutions to diverse client needs. Open to new challenges.

Certifications

2021
Education

Udemy & Coursera

Completed certifications in SQL, Python, Full Stack Development, Data Analytics, Scrum, and JavaScript to deepen technical expertise.

Operation Analyst

2021
Work

Cognizant

Promoted to analyze Google My Business operations, driving performance improvements across products and processes.

Product Analyst

2020
Work

Cognizant

Analyzed Google My Business, identifying key improvement areas. Gained recognition for impactful insights and solutions.

Research Analyst

2019
Work

Cognizant

Conducted root cause analysis for Google My Business, marking the start of my journey into data analytics.

Industrial Engineering

2021
Education

UADE

Began studies in Industrial Engineering, completed in 2023, providing a strong foundation in analytical thinking and optimization.

Logistic Supervisor

2016
Work

Friction Marketing CO

Managed warehouse operations and logistics processes, gaining hands-on experience in operational efficiency.

High School Degree

2014
Education

IAP

Graduated with a focus on economics, laying the groundwork for my analytical career.

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Familiarized with

Google Cloud Platform

Extensive experience working in the GCP environment, utilizing tools such as Dataform, BigQuery, Airflow, and Dataplex to manage, process, and analyze large-scale data efficiently.

MySQL

Applied MySQL in backend development and data analysis, optimizing queries to support robust and scalable data operations.

PostgreSQL

Leveraged PostgreSQL for backend development and data analysis, ensuring data integrity and performance in diverse projects.

Python

Utilized Python for data ingestion, process automation, and the development of efficient data pipelines

Airflow

Designed and implemented DAGs in Apache Airflow to automate data workflows and schedule script executions seamlessly.

JavaScript

Applied JavaScript in web development projects and the creation of custom Dataform ecosystems for efficient data workflows.

NodeJS

Developed server-side applications and APIs using Node.js to support dynamic and scalable web applications.

Tableau

Created interactive dashboards and data visualizations to provide actionable insights tailored to specific client needs. Mostly as a freelancer.

Looker/LookML

Built dynamic dashboards and data visualizations at Fluid Truck, utilizing LookML to model complex datasets effectively.

PowerBI

Developed dashboards and visualizations for clients and educational purposes, turning complex datasets into clear insights.

HTML

Designed and structured web pages using HTML to create intuitive and user-friendly interfaces.

CSS

Styled and enhanced web applications with CSS, ensuring responsive and visually appealing designs.

Excel

Performed detailed data analysis and created ad-hoc reports for fast decision-making using Excel.

GitHub

Managed version control and collaborated on projects using GitHub to maintain code integrity and history.

Docs

Organized projects and governed data using Docs for documentation, planning, and collaboration.

Zoho

Ingested data from Zoho into a Data Warehouse through API integrations, ensuring data availability for analysis.

Salesforce

Integrated Salesforce data into a Data Warehouse via API, enabling comprehensive business insights.

Fivetran

Automated data ingestion workflows from multiple sources into a Data Warehouse using Fivetran.

Confluence

Utilized Confluence for project management, documentation, task assignment, and SCRUM-based workflows.

My experience as a Data Analyst

I can't imagine my daily life without data. And I'm not just talking about my professional life, I mean personally as well. Even simple practices, for example maintaining a data-table to track expenses organized by categories, it helps me understand the balance of my finances at the end of each month and stay more organized with my spending.

There’s so much I love about data, but it’s not all about visualization. Behind every insightful dashboard lies an essential foundation of organization. Many of the companies and clients I’ve worked with face challenges like messy data, inefficient tables, a lack of automated processes to reduce human error, excessive cloud costs due to poor data management, or inadequate data governance that leaves stakeholders confused about what they’re looking at.

Seeing these pain points in businesses inspired me to fully dedicate myself to this field, making complex data processes simpler and more manageable.

I’ve had the privilege of working with diverse clients, from small startups to large enterprises. This experience has given me a deep understanding of the unique strengths and weaknesses of organizations of different sizes.

Additionally, I’ve performed various types of analyses for a wide range of stakeholders. I’ve analyzed products, operations, processes, teams, and entire departments such as Marketing, Sales, Operations, and Customer Support. I’ve also had the opportunity to collaborate directly with senior leaders, including CEOs and COOs.

Over the years, I’ve contributed by cleaning messy data, improving business processes, identifying patterns, driving revenue growth, understanding customer lifetime value (LTV), detecting inconsistencies, building automated alerts based on data, designing efficient data warehouses, implementing proper data governance, creating decision-making reports, and much more. With six years of experience working with all kinds of clients, I’ve seen—and solved—a lot.

Awards