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followers: 15.0 following: 7.0 repos: 9.0 gists: 0.0

Name: MiltonDeMarte

Type: User

Company: Office of Innovation - Municipality of Escobar.

Bio: Proactive and effusively curious. I believe that the best place to develop personally and professionally is one where I can connect and learn from others.

Location: Escobar, Buenos Aires, Argentina.

Hi there, I'm Milton De Marte 👋

I'm a Data Scientist, Fullstack Web developer and Solidity enthusiast.

  • 🔭 I'm currently working as a Semi-Senior Data Engineer/Analyst @MOPC Business Solutions
  • 🌱 I’m currently learning how to develop more my programming skills.
  • 👯 I’m looking towards new horizons that enables me to reach new achivements.
  • 🥅 2024 Goals: Build my own fintech.
  • ⚡ Fun fact: ¿How did the T-Rex scratch it's head?

Connect with me:

codeSTACKr | LinkedInlinkedin codeSTACKr | Instagraminstagram


Languages and Tools:

Visual Studio Code

HTML5

CSS3

JavaScript

React

Node.js

SQL

MySQL

Git

GitHub


MiltonDeMarte's Projects

regression-model-advancedmodels icon regression-model-advancedmodels

Second proyect by Acamica. Remake of proyect 1. This time using new data analysis and pre-processing techincs for new regressor models / Segundo proyecto por Acamica. Re-construcción del proyecto 1. Esta vez empleando nuevos metodos para el analisis y pre-procesamiento de informacion para nuevos modelos regresores.

regression-model-decisiontrees icon regression-model-decisiontrees

First proyect by Acamcia. Create regressors models to predict observed values of properties / Primer proyecto por Acamica. Crear modelos regresores para predecir valores observados de propiedades.

time-series-prophet icon time-series-prophet

Last proyect by Acamica. Improvment of previous proyect / Ultimo proyecto por Acamica. Optimizacion del proyecto anterior.

time-series-s.a.r.i.m.a.x icon time-series-s.a.r.i.m.a.x

Third proyect by Acamica. Analyze and pre-process given data to create Time Series models that predicts the values of observed highways / Tercer proyecto por Acamica. Analizar y pre-procesar la información otorgada para crear modelos de Series de Tiempo que predigan el flujo de vehículos para las autopistas observadas.

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