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Jairo Alejandro Lefebre Lobaina
La Habana Vieja, Cuba
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
128.6
CodersRank Rank
Top 5%
Top 50
Python
Developer
Cuba
Highest experience points: 0 points,
0 activities in the last year
Python
111.1
exp.
JSON
17.5
exp.
List your work history, including any contracts or internships
cuban.engineer
Mar 2020 - Apr 2021 (1 year 1 month)
Data Scientist
Duties:
- Develop an engineer's skills evaluator using GitHub, GitLab and Stack Exchange data
- Propose an algorithm that allows infer new skills from data provided by the APIs
- Document proposed strategies using Jupyter Notbooks
- Create well documented APIs using Flask
- Propose graph oriented models using ArangoDB
- Develop an engineer's skills evaluator using GitHub, GitLab and Stack Exchange data
- Propose an algorithm that allows infer new skills from data provided by the APIs
- Document proposed strategies using Jupyter Notbooks
- Create well documented APIs using Flask
- Propose graph oriented models using ArangoDB
XETID
7 years 5 months
Lead Data Scientist
Mar 2016 - Feb 2020 (3 years 11 months)
Duties:
- Develop py-fcm a Fuzzy Cognitive Map inference library, using Python
- Develop a Fuzzy Cognitive Maps topology generation from data, using Python
- Apply the logical combinatorial pattern recognition approach to feature selection problems to
reduce datasets dimensionality
- Implement several (YYC, GCreduct, RegularSearch) algorithms to find all typical Testors
(minimal traversals / reducts)
- Develop a road deterioration and line estimation from GPS traces with clustering, using Scikit-learn and a modified SOM Neural Network
- Develop a REST API to train and use text classification algorithms, using spaCy and Flask
- Develop a REST API for text polarity and topic detection, using spaCy and Flask
- Develop Xintesis a Flask REST API generator
- Develop py-fcm a Fuzzy Cognitive Map inference library, using Python
- Develop a Fuzzy Cognitive Maps topology generation from data, using Python
- Apply the logical combinatorial pattern recognition approach to feature selection problems to
reduce datasets dimensionality
- Implement several (YYC, GCreduct, RegularSearch) algorithms to find all typical Testors
(minimal traversals / reducts)
- Develop a road deterioration and line estimation from GPS traces with clustering, using Scikit-learn and a modified SOM Neural Network
- Develop a REST API to train and use text classification algorithms, using spaCy and Flask
- Develop a REST API for text polarity and topic detection, using spaCy and Flask
- Develop Xintesis a Flask REST API generator
Machine Learning Engineer
Sep 2012 - Mar 2016 (3 years 6 months)
Duties:
- Develop a text classification module using an user defined text corpus and process text data with NLTK and Scikit-learn libraries
- Build an optimization model applied to medical crew scheduling using the metaheuristic genetic algorithm
- Design a common parser for process knowledge structured like rules
- Develop a parser interface for CLISP a rule based inference library
- Develop a parser interface for FuzzyLite, a fuzzy rule based inference system
- Develop a REST API for module using Qt framework and C++
- Model several rule-based knowledge bases
- Develop a crisp rule extraction system from data (IDE3, C4.5)
- Develop a text classification module using an user defined text corpus and process text data with NLTK and Scikit-learn libraries
- Build an optimization model applied to medical crew scheduling using the metaheuristic genetic algorithm
- Design a common parser for process knowledge structured like rules
- Develop a parser interface for CLISP a rule based inference library
- Develop a parser interface for FuzzyLite, a fuzzy rule based inference system
- Develop a REST API for module using Qt framework and C++
- Model several rule-based knowledge bases
- Develop a crisp rule extraction system from data (IDE3, C4.5)
This section lets you add any degrees or diplomas you have earned.
Universidad de las Ciencias Informáticas
Grado en Ingeniería, Ingeniería informática
Dec 2006 - Dec 2011
Default Setup & Configuration & Basic Usage of LizardFS Software-Defined Storage
Dec 2019
IA para todos
Jun 2020
EF SET English Certificate 70/100 (C1 Advanced)
Dec 2019