Dan Labrador

IT Reports Specialist 2 ∙ My Amazon Guy

• Executive-Level Reporting: Built Looker Studio dashboards powered by BigQuery and SQL that improved financial and operational visibility, directly supporting C-level decision-making. Notable projects include providing insights on client communications, burn rate, and ROI.
• Data Pipeline Optimization: Enhanced multiple Python-based reports automation, reducing processing time from 1.5 hours to 3 minutes per report leveraging BigQuery computation servers.
• API Rate Limit Management: Designed and implemented a Python-based API rate limiter for HubSpot, Slack, Asana, and other third-party platforms and libraries, preventing data loss and improving API efficiency.
• HubSpot CRM & Sales Data Analysis: Analyzed HubSpot CRM data to identify operational inefficiencies and opportunities.
• Process Automation: Automated key financial and marketing reports using Python, Zapier, and HubSpot, eliminating manual reporting inefficiencies.

Python Looker Studio BigQuery SQL Google Cloud Platform Data Visualization Data Analytics

IT QA Specialist 2 ∙ My Amazon Guy

IT QA Specialist 1

• Reduced IT System Incidents: Upon the introduction of the IT QA team, we reduced our major IT system incidents occurrence interval by 94.3% (from every 3.5 days to 68 days) by implementing a comprehensive quality assurance framework, which resulted in significantly enhanced system stability and reliability.
• Standardized QA Practices: I authored and helped enforce the organization's first manual software testing process SOP, which standardized and clarified QA practices across the team, improving QA activities' consistency and quality.
• High Volume of QA Tickets: I completed 642 manual QA tickets (since October 2024, when we started tracking ticket counts) by applying robust manual testing methods, which ensured critical systems like the Churn Rate and Burn Rate reports were thoroughly vetted before deployment.

Manual Testing Scope Reviews JavaScript Python Zapier HubSpot ConvertCalculator ActiveCampaigns Airtable Asana Slack

MITx MicroMasters® Program in Statistics and Data Science (Methods Track) ∙ Massachusetts Institute of Technology

This graduate-level program prepared by MIT provides an in-depth knowledge of data science and time series analysis and teaches how to conduct rigorous analysis that inform decision-making processes and contribute to evidence-based practices across industries.

• Probability: Builds foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference.
• Machine Learning With Python: Provides an in-depth introduction to the field of machine learning and reinforcement learning, through hands-on Python projects.
• Statistics: Develops a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction.
• Time Series with Interventions: Offers practical knowledge on building machine learning algorithms to process and analyze unstructured data, including unsupervised methods like clustering and supervised techniques such as deep neural networks.

BSc Computer Science ∙ University of London

This undergraduate program prepared by the faculty of Goldsmiths, University of London teaches the fundamentals of computer science and helps master in-demand programming, mathematical and computing skills through project-based modules.

With the data-science specialism, the program aims to equip its students the necessary skills to be a data scientist. This will include learning about artificial intelligence, data analytics and machine learning.

Full-Stack Web Development ∙ Uplift Code Camp

Completed an intensive full-stack web development bootcamp, mastering both frontend and backend technologies. Built and deployed full-stack applications using MongoDB, Express.js, React.js, and Node.js (MERN stack), while gaining expertise in RESTful APIs and database management.

• Scalable Software Design: Applied Object-Oriented Programming (OOP) and Model-View-Controller (MVC) design patterns to create maintainable and modular applications.
• Data Engineering Foundations: Developed a strong understanding of data structuring and querying in MongoDB, which translates well to relational databases like SQL and BigQuery.
• Backend API Development: Designed and implemented secure, high-performance APIs using Node.js and Express.js, emphasizing scalability and data integrity.

Object-Oriented Programming Modern-View-Controller (MVC) Data Structures NoSQL Back-End Web Development