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Cristian Brokate

I have experience utilizing data science tools to create and maintain robust data processing pipelines. I am familiar with building web applications using modern front-end JavaScript frameworks. I also have a background in managing IT infrastructure for large compute servers In my spare time, I like to build Internet of Things (IoT) applications.

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.

Visualization

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

Last articles

Application revenue prediction

This article presents a study on predicting user-generated revenue within a digital application. Using gradient boosting models and a data..

📅  Oct 7, 2024 data science
Personalized Plan Care Information

Using RAG and LLM to provide accurate information about plant care.

📅  Jul 28, 2024 programming
Music playlists dashboard

This article shows how to collect data from article shows how to analyze logs using Kibana dashboards. Fluentbit is used for injecting lo..

📅  Feb 23, 2024 visualization, programming
Log analysis using Fluentbit Elas..

This article shows how to analyze logs using Kibana dashboards. Fluentbit is used for injecting logs to elasticsearch, then it is connecte..

📅  Sep 11, 2023 visualization, system manage..
Magic wand gesture recognition us..

This article aims to demystify the implementation of machine learning algorithms into microcontrollers. It uses runs a TensorflowLite mode..

📅  Jun 4, 2021 data science, programming
Hydroponic Agriculture Learning w..

New methodologies of horticulture based-on high-end technology are urgently required to transform the way in which the world is fed. In t..

📅  Dec 7, 2020 programming
TheFifthDriver: Machine learning ..

FPGA implementation of a highly efficient real-time machine learning driving assistance application using a camera circuit.

📅  Dec 7, 2020 programming
Writing notes with Vimwiki and Hu..

Vim is a simple and ubiquitous text editor that I use daily. In this article I show how to use Vim to take and publish diary notes using V..

📅  Jul 1, 2020 programming
Reverse proxy management with Tra..

Traefik is a modern and dynamic reverse proxy with a native support with docker containers. This article compares Traefik with existing so..

📅  Jun 7, 2020 system management

More at my blog

Featured projects

API Personnes décédées

API for people who died in France from 1970. It has a bulk mode, to process csv files with multiple identities, which can be used to clean..

  typescript   express   swagger
IA Flash

This artificial intelligence application detects a vehicle, its make and model in a photo and a video. It's currently used by French Gover..

  python   opencv   pytorch   sphinx
Object detection application

This application implements state of the art algorithms for object detection with a frontend application to interact with results. It can ..

  python   opencv   angular   raspberrypi   chartjs
Muse

A mopidy web interface with snapcast support. The perfect excuse to use state of the art web frameworks and CI/CD workflows.

  svelte   sapper   bulma   github-actions   mopidy
Grafana system monitoring

I adapted multiple monitoring components to deploy easily a monitoring system using tools like Telegraf, Collectd, Influxdb and Grafana.

  grafana   docker   influxdb   telegraf   aws