Andres Padilla

About Me

I am a mechanical engineer by profession since 2017. Passionate in the TIC sector since I started my master 's degree in mechanical engineering in 2020 on topics related to renewable energy and data analysis. I would like to apply in a role related to Data scientist or Web developer. I am self-taught in this sector, participating in different kaggle competitions for the data science area and building different personal projects for the web development area.

Main courses

Web development course

This course was led by the government of Colombia to meet the challenges of the Fourth Industrial Revolution. It had a duration of 800 hours in the Universidad de Antioquia where I could learn the MERN stack and the Scrum development methodology.

Data science course from Correlation One company

This course was an oportunity offered by the government of Colombia, where only about the 10% of the people who signed up were selected based on a test. It had a duration of 375 hours, with professors from USA and it was a great experience.

Web development course

This course was led by the government of Colombia to meet the challenges of the Fourth Industrial Revolution. It had a duration of 800 hours in the Universidad de Antioquia where I could learn the MERN stack and the Scrum development methodology.

Data science course from Correlation One company

This course was an oportunity offered by the government of Colombia, where only about the 10% of the people who signed up were selected based on a test. It had a duration of 375 hours, with professors from USA and it was a great experience.

Skillset

JavaScript

Html

Css

Node.js

React.js

Next.js

MongoDB

SQL

Python

Dash

TensorFlow

SkLearn

Projects

University project manager

Application to create projects where students can register.

Built on Next.js and it uses a PostgreSQL database, queried by GraphQL + ORL Prisma.

Website Repository

Code library

It is an online storage of the commands I use frequently in python and github.

Built in React and it uses a MongoDB database, queried by GraphQL.

Website Repository

Photovoltaic energy forecast in Colombia

Dashboard that allows predicting the power that will be produced by a solar panel in different regions of Colombia.

Build in Dash and it contains data analysis and predictive models.

Website Repository

Machine Learning Competitions (Kaggle)

Stores Sales Forecasting

Random forest regressor to predict the sales for different stores.

Predicting Future Sales

LGBM regressor to forecast the next monthly sales using lags for the time series

Houses Sales Forecasting

LGBM regressor to forecast the sale price of different houses

Energy Forecasting

XGB regressor to forecast the energy read by meter in different buildings

Others

Journal Articles