👋 Hello, I'm

Arizael Capote

Computer Science · Data Science

I build data-driven solutions that translate raw numbers into real insights. Currently deepening my expertise in machine learning and predictive modeling — one project at a time.

Arizael Capote

Work Experience

My journey through labor market

2025 – 2026

Billing and operations

Walmart meat processing center · Costa Rica

Managed high-volume B2B invoicing primarily using SAP and Excel. Maintain data integrity across systems and generate daily operational reports. Provide cross-functional support in logistics, dispatch of products/routes, and administrative management of personnel

Excel SAP Billing Logistic Reporting
2024 – 2024

Logistic Prediction

"Lo bueno con lo bueno" · Supply Chain

Developed a demand forecasting model for a food distribution company, helping maintain optimal inventory levels and surfacing sales insights that guided restocking decisions.

Python Pandas Scikit-learn Matplotlib Seaborn PowerBi

My Projects

Things I've built along the way

Desktop solution

QR Code Generator

A lightweight free desktop tool that converts any URL, text, numbers or code into a scannable QR code instantly.

Python Tkinter Pillow
Data Science

Logistic Prediction

End-to-end demand forecasting pipeline for a local food company. Cleaned messy sales data, trained a regression model, and delivered a simple dashboard to support daily restocking decisions.

Python Pandas Scikit-learn Matplotlib Seaborn PowerBi
Backend

Hotel Reservation System

A full reservation management system built from scratch, handling room availability, bookings, and guest records. Focused on clean data modeling and a reliable business logic layer. (Need to be rewritten)

PythonSQLOOPDjangoBootstrap
GIS / Analysis

QGIS Parameters Extraction

Automated extraction of raster parameters from geospatial datasets using QGIS scripting. Reduced manual processing time significantly and improved reproducibility of spatial analyses.

PythonQGISRaster

Learning Path

My journey from Computer Science to Data Science & AI

My journey blends formal Computer Science training with self-driven Data Science mastery. Since 2023, I've built a practical data stack: Python (Pandas, NumPy, Scikit-learn), SQL for querying, and Power BI for business-ready dashboards. I've taken projects from messy raw data to deployed models that drive real decisions. Now I'm pushing into AI automation — LLMs, prompt engineering, and pipeline orchestration.

Python Python
SQL SQL
Power BI Power BI
Data Analysis
View Full Learning Path

Find me on:

  • LinkedIn
  • GitHub
  • Signal