Welcome to my World

Hi, I’m Ariel Bravo
Data Scientist.

From Ecuador.

About me

Ariel Bravo

Hi, I’m Ariel Bravo.

I am a person with a keen interest in how data shapes our lives. Systems Engineer with more than three years working as a Data Scientist. He currently works for Prediqt using data to make intelligent decisions. In general I am passionate about all fields where data has a great impact.

Another of my passions is Machine Learning Engineering and Data Engineering. I have carried out several courses and real projects. I help companies and people bring their ideas to life. Every day I am aware of new technologies in this changing area.

During my 5 years journey in the world of data I learned many concepts, developed many skills, such as: Artificial Intelligence, Data Analysis, Data Science, Data Engineering, Text Mining, Machine Learning, Business Intelligence, MLOps . I am studying a master's degree in Data Science at the Pontifical Catholic University of Chile (top 1 university in Latin America).

Main Skills
Experience
Education & Certification

Puntuality

95%

Teamwork

90%

Ability to learn

95%

Problem resolution

80%

TECHNOLOGY STACK I USE

Data Science

Data Science

DATA SCIENCE

Python

Python

Python

Numpy

Pandas

Pandas

Pandas

Tensorflow

Tensorflow

TensorFlow

Scipy

Scipy

Scipy

Scikit-learn

Scikit-learn

Scikit-learn

MatplotLib

MatplotLib

MatplotLib

Power BI

Power BI

Power BI

Frontend

Frontend

DATA ENGINEERING

Pyhton

Pyhton

Python

Redux

Redux

SQL

HTML

HTML

Spark

CSS3

CSS3

Databricks

Boostrap

Boostrap

Hadoop

Gatsby

Gatsby

Hive

Backend

Backend

ML Engineering

Django

Django

Python

Continuos Integration

Continuos Integration

CI/CD

Docker

Docker

Docker

Docker

Docker

mlflow

Database

Database

Databases

Mongo DB

PostgreSQL

MySQL

MySQL

MySQL

Tools

Tools

Tools

Git

Github

Github

Github

PyCharm

PyCharm

PyCharm

Anaconda

Anaconda

Anaconda

Visual Studio Code

Google Analytics

Google Analytics

Circle CI

Deployment

Deployment

Deployment

Amazon Web Services

Heroku

Heroku

Google Cloud

Netlify

Netlify

Azure

Services

Data Science

I like the idea that data should tell a story and be a fundamental part of improving processes in companies and institutions.

Things I enjoy doing

Predictions, Clustering, Analysis, Decisions based on data, statistics, deployment.

Tools I use

Python, Matplotlib, Pandas, Scikit-learn, TensorFlow, Power BI, Github, Docker

Data Engineering

I enjoy working with data, processing it and storing it so that it can be used in an accessible and reliable way.

Things I enjoy doing

Big data, Data Lakes, Data Warehouses, APIs

Tools I use

VSCode, Python, SQL, Spark, Docker, Databricks, Google Cloud.

Engineering

I love inventing and doing things related to systems engineering, from design, modeling, deployment and evaluation.

Things I enjoy doing

Build, fix, design, develop, evaluate

Tools I use

Pen & Paper, Notion, Asana, Jira.

Projects I have worked on

Here are a few projects I've worked on recently.

Statistics, SQL, Data Science, MLOps, Power BI

Aquaculture: Artificial Intelligence to recommend feed.

SQL, Data Science, Clustering, Power BI

Customer segmentation by payment probability.

SUMA

SUMA

Data Analysis, Web Scraping, Python

SUMA Dashboard

I'm proud to have collaborated with some awesome institutions

Contact me

I am available for full-time, part-time and freelance work. Contact me through my social networks or by email: arielbravo.ec@gmail.com