Skip to content
View carloscoronad0's full-sized avatar
4 followers · 10 following

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Block or report carloscoronad0

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
carloscoronad0/README.md

Carlos Coronado

Software Engineer | Data Analyst | Data Engineer

🔹 About Me

I’m a Software Engineer (graduated with honors) with strong critical thinking and problem-solving skills.
Over the past 2+ years, working as a Data Analyst for AB-Inbev I’ve built and maintained data pipelines, dashboards, and APIs that empower business decision-making. I've lead projects focused on:

  • 📊 Designing and optimizing KPIs & Dashboards for 80+ production plants across South America.
  • ⚙️ Building ETL pipelines & Data Warehouses to ensure high data quality.
  • 🎨 Applying UI/UX fundamentals for impactful visualizations and stakeholder alignment.

Previously, I developed REST APIs, CI/CD pipelines, and data solutions using C#, Python, SQL, and Docker.

💻 Tech Stack

Data Analysis

Python

Python

Python

Git


Data Engineering & Governance

Git

Git

Git

Git

Git

Git


Backend Development

Python

Git

JavaScript

NodeJS


Others

Linux

Git

GitHub

Bash

Bash


Methodologies

Agile (SCRUM, Shape Up)

🔬 Projects

  • 📈 Dollar Pricing Analysis: Analysis over the News influence in the parallel pricing of the dollar in Bolivia.
  • 🚚 Logistics Analysis: Synthetic Data generation, ETL implementation and Analysis for a Logistics Business Case to identify optimizations over delivery time and driver performance.
  • 🤖 Smart Evolutionary Agent: A Deep Learning project using PyTorch to train a Monopoly agent.

🌐 Connect with Me

Pinned Loading

  1. log_delivery_analysis log_delivery_analysis Public

    Complete ETL process for simulated logistics data, the project focuses on the implementation of the medallion architecture and the usage of the output data in a Power BI Dashboard

    Python

  2. smart_monopoly_agent smart_monopoly_agent Public

    The fittest Smart Agent, selected by the application of a genetic algorithm, that learns to play Monopoly through the application of Reinforcement Learning

    Python

  3. dollar_pricing_analysis dollar_pricing_analysis Public

    News scraping implementation for the analysis of their impact in the fluctuations on the dollar price in Bolivia

    Python