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Eroscardenas/README.md

ECARDENAAS

Software Engineer · Full-Stack · Data · Machine Learning

México

About

I build software from end to end — web applications, mobile apps, backend services, data pipelines and machine learning projects.

Most of my work is focused on solving real problems through software: logistics, inventory, business operations, data analysis and intelligent systems.

Currently exploring the intersection between software engineering, data and machine learning.

Stack

What I Build

Software Engineering

Full-Stack · Web Apps · Mobile Apps · REST APIs · Authentication · Realtime Systems · Business Automation

Data & Machine Learning

EDA · Data Cleaning · Feature Engineering · Classification · Recommendation Systems · Model Evaluation · Model Deployment

Infrastructure & Databases

PostgreSQL · MySQL · Firebase · Supabase · Docker · Linux · Render · Vercel

Selected Projects

Customer Churn Analysis

Machine learning project for customer churn prediction and analysis.

Python Pandas Scikit-learn Flask

  • Exploratory Data Analysis
  • Logistic Regression
  • Random Forest
  • Gradient Boosting
  • ROC-AUC evaluation
  • Interactive prediction application

View Repository

SkinCare Recommendation System

Content-based recommendation engine that finds skincare products with similar ingredient profiles.

Python TF-IDF KNN Cosine Similarity Flask

  • Ingredient-based recommendations
  • Skin type filtering
  • Product category filtering
  • Similarity scoring
  • Interactive web application

View Repository · Live Demo

Production Systems

Beyond my public repositories, I build production software for real business operations.

Next.js TypeScript Flutter Firebase Supabase PostgreSQL

Areas include:

  • Delivery and route management
  • Inventory and production control
  • Realtime stock synchronization
  • Business requisitions
  • PDF and operational reporting
  • Role-based applications
  • Workflow automation

Some production repositories remain private due to confidentiality.

Languages & Tools

Languages

Python · TypeScript · JavaScript · SQL · Dart · C · C++

Data

Pandas · NumPy · Matplotlib · Scikit-learn · Jupyter

Web & Mobile

Next.js · React · Tailwind CSS · Flask · Flutter

Databases & Infrastructure

PostgreSQL · MySQL · Firebase · Supabase · Docker · Linux

Activity

Contact

Software Engineering · Data · Machine Learning

Pinned Loading

  1. BigData BigData Public

    Python

  2. DemoNatura DemoNatura Public

    JavaScript

  3. customer-churn-analysis customer-churn-analysis Public

    End-to-end customer churn analysis with Python, machine learning, EDA and an interactive Flask prediction dashboard.

    Jupyter Notebook

  4. inventario-refacciones inventario-refacciones Public

    Microservicio para el control de inventario de refacciones.

    TypeScript

  5. movie-recommendation movie-recommendation Public

    Forked from Ivanrs297/movie-recommendation

    Simple app for movie recommendation

    Jupyter Notebook

  6. skincare-recommendation-system skincare-recommendation-system Public

    Content-based skincare recommendation system using TF-IDF, KNN and cosine similarity, with an interactive Flask web app.

    Jupyter Notebook