WHAT I DO

MY SKILLS

Professional Skills

Python 85%
M.Learning 75%
FastApi 70%
Django 50%
Supply Chain 70%
Matlab 65%

Software & Tools

Azure 80%
AWS 50%
Latex 65%

Databases

  • MySql
  • Postgres
  • MongoDB

Project Tools

  • GTD
  • Scrum
  • Git & GitHub

Tools & Ids

  • VSCode
  • Notepad++
  • Numpy
  • Pandas
  • TenSorFlow
  • PySpark
  • Databricks

Others

  • Vagrant
  • Docker
  • Windows & Linux

WHAT I DID

MY EXPERIENCE

  • CURRENT






  • APR 2010






  • MAR 2018








  • JUN 2017

  • INTERGRUPO Medellin(Antioquia), Colombia

    Machine Learning Developer

    • Developing Machine Learning algorithms.
    • Deploying ML models to production using MLOps.
    • Support clients as an expert to propose the best solution to problems.
    • Perform constant review of implemented models
    • Support the MLe Senior in the implementation of simulations, deployments, code refactoring

    IG ! Amazing.

  • LC & I Medellin(Antioquia), Colombia

    Data Analyst & Engineer

    • To develop model algoritms for logistics application.
    • Estimate the duration and costs of projects.
    • Analyze customer data to propose eficient solutions that improve processes along the supply chain.

    Great! place to learn.

  • Colplast S.A.S.

    Coordinator of Application Engineering

    • Determine the scope of the project together with the resident managers and engineers, to establish the activities and resources required for its successful completion.
    • To formulate, design and control the projects of the sub-management for the development, implementation, testing and production concerning plastics transformation.

  • Plastiquimica S.A.S.

    Mechanical Maintenance and Project Engineer

    • I created an Excel and Python program capable of anticipating the company energy cost per machine.
    • I created several application that helps with the maintenance and management in Excel.
    • 3D modeling in detail engineering using Solidworks, Auto Rhinoceros

PROJECTS

MY Projects

Machine Learning study group

  • Python
  • PySpark
  • Machine Learning
  • Tensorflow
  • Scikit learn

The objective of the group is to ensure that its members obtained an advanced level in machine learning knowledge and to develop innovative projects in the city.

Demand Forecasting in Warehouses with Machine Learning

  • Python
  • SQL
  • Suply Chain
  • PySpark

Implement machine learning models to predict product’s demand and picking times, to improve the processes inside the warehouse.

BOM with Sql and Excel.

  • SQL
  • Python
  • Pandas
  • Numpy

A bill of materials(BOM) explosion displays an assembly at the highest level broken down into its individual components and parts at the lowest level, this applicationwas implemented in SQL and Excel.

A Robotic System capable of pouring drinks to its user

  • Matlab
  • SQL
  • Arduino

The prototype robot performs tasks such as pouring driks in collaboration with a built-in camera which creates a supplying live vision of the surroundings. The project goal is fully defined as a robotic prototype that can mimic some waiter’s tasks using artifcial vision, inverse kinematics and control the pump of the liquor’s fow.