Skip to content
View RobotArtesano's full-sized avatar

Block or report RobotArtesano

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 is supported. This note will only be visible to you.
Report abuse

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

Report abuse
RobotArtesano/README.md

Hola, Bienvenido!, 🤘

Soy Alan

Supply Chain Analytics | Retail Forecasting | Inventory Optimization | Python Developer Solutions

Building data-driven retail systems with Machine Learning and full-stack Python development.

Background in retail operations transitioning into analytics and software development.

Focused on:

  • CPFR & Demand Planning
  • Retail Analytics
  • Forecasting Systems
  • Inventory Optimization
  • Full-Stack Python Applications for business solutions

🚀 Featured Project

Retail Forecasting & Replenishment Platform

Full-stack web application for retail demand forecasting, replenishment planning and inventory optimization.

Highlights

  • Prophet + Random Forest ensemble forecasting
  • Automated replenishment engine
  • Executive dashboards
  • Multi-tenant architecture
  • Async ML processing with Redis workers
  • Forecasting by SKU and store

🔗 View Public README


🌱 I’m currently learning an exploring

  • ML Engineering

Software Development tools

🛠️ Languages and Tools

python flask mysql html css

Pinned Loading

  1. Dashboard-Retail_v2.0_flask Dashboard-Retail_v2.0_flask Public

    Full-stack web application for retail demand forecasting, inventory optimization, and financial KPI analysis.

  2. Retos_TimTech Retos_TimTech Public

    Retos de código enviados por newsletter de Tech with Tim

    Python

  3. awesome-public-datasets awesome-public-datasets Public

    Forked from awesomedata/awesome-public-datasets

    A topic-centric list of HQ open datasets.