About me Blog

Cristian Perez Brokate

Data scientist in Paris area. I use machine learning, data science and deep learning for data projects using python, javascript & R. I build interactive dashboards and web applications using nodejs, flask, python, Angular, docker.

What I do:

Data modelling

  • Regression and classification algorithms for finance and insurance French companies.
  • Deep learning algorithms for object detection
  • LSTM models for time series prediction in robotics application

Data engineering

  • Collect data from different kinds of sources: social networks, APIs and websites.
  • Save large amounts of data coming at high intensity using a differed processing pipeline.
  • SQL and NoSQL database management (mongodb, neo4j, oracle, MySQL, SQLite)

System management

  • Application deployment using docker container system
  • Cloud computing management using
  • System performance monitoring using telegraf, influxdb and grafana.


  • Interactive dashboard development using javascript libraries such as d3.js, dc.js
  • Web applications using modern frameworks.
More about me

Last articles

This post how how to implement a light object detection algorithm

Mar 6, 2019

This posts shows how to include bulma css classes inside a jekyll website but keeping good performance from AMP websites

Aug 22, 2018

Docker allows to easily deploy a monitoring system using beautiful Grafana dashboards and connected with optimized data sources with Influxdb and Collectd

Aug 14, 2018

Interactive visualizations allows the reader to explore data for differents points of views. Javascript library Dc.js allows to combine multi variable firlters to the analysis.

Feb 18, 2018

This projects uses NLP to classify a user review as useful or not useful. Best practices for a data science project such as document structure, documentation and virtual environment are used

Jan 5, 2018

This post shows how to implemented a simple algorithm to detect a document inside and scanned image using python and the image processing library opencv

Dec 3, 2017

A marathon needs to be prepared for at least 3 months. This post shows my preparation training and a prediction of my time for the Metz Marathon 2017

Aug 13, 2017

Steps data from my smart watch

Aug 13, 2017

In this post I use the javascript library Chartjs to illustrate interactively the statistics of a running activity at Santorini experience 2016

Aug 12, 2017

More at my blog

Technical Stack