Green leaf

Alvaro D - Data Science developer
Member since:Dec 30, 2020
Profile last updated:Jul 06, 2021
Last activity:April 4, 2022, 10:49 p.m. UTC

Alvaro D

I'm graduate of Computer Science with knowledge of Machine Learning and Deep Learning. My professional experience is based in optimization models using Python and R. My profile is oriented to Data Science.

Skills:    ·   ·   ·   ·   ·   ·   ·    · 
Weekly Availability: 45 hours
Mon 04 - 13 21 - 06
Tues 04 - 13 21 - 06
Wed 04 - 13 21 - 06
Thurs 04 - 13 21 - 06
Fri 04 - 13 21 - 06

Hourly Rate: $31.25
Experience: 4+ yrs
Data Science: 4+ yrs
Python: 4+ yrs
Go: 4 yrs
Numpy: 4 yrs
Tensorflow: 4 yrs
Flask: 4 yrs
C++: 2+ yrs
Engineer's Devices:


Avanti Financial Services     Backend Developer / Data Scientist     Employment
Oct 2018 - Present

  • Generated special functions for the creation of a framework for quantitative finance and backtesting: plotting, performance stats, backtesting of strategies based on the Kalman Filter and OLS.
  • Implemented a predictor of the market sentiment of the crypto-currency using an ARIMA autoregressive Machine Learning model. (Data Science, Data Analysis, Numpy and Pandas)
  • Worked in speed up process of optimization algorithms for financial indexes.
  • Created RESTful APIs for projects using Python and Golang as programing languages and Flask and Echo respectively as micro-framework.
  • Implemented Machine Learning and Deep Learning Models for different investment strategies using Tensorflow as Framework

Skills used: Data Science, Go, Tensorflow, Numpy, Python, Flask

University Of Carabobo     University of Carabobo     Contractor Professor     Contract
Jan 2020 - Present

  • Professor of Algorithms II: Linear Structures, Hierarchical Structures and Multi linked Structures
  • Professor of Programming II (C++): Linear Structures, Hierarchical Structures and Multi linked Structures.

Skills used: C++

Sofoscorp     Breeding Birds Optimizer     Developer     Employment
May 2018 - Jun 2019
Food and Agriculture

  • Developed functional prototypes for the simulation of breeding birds housing processes based on linear programming and mixed integer programming using R for statistics. (Data Science)
  • Developed the migration of a hosting process simulation prototype system from R to Python using scientific libraries such as Pandas, Numpy, Scipy and Pulp. Used Facade as a design pattern.
  • Created the microservices API for an application using Flask.
  • Developed functional prototypes for interpolation models using methods like Cubic Splines using Python as a tool.
  • Reviewed a Genetic Algorithm developed by third parties.

Skills used: Data Science, R for Statistics, Python


University of Carabobo    B.Sc  (Computer Science)
Dec 2014 - Dec 2019


Introduction to Portfolio Construction and Analysis with Python – EDHEC Business School    Coursera
May 2020 - Jun 2020
Skills learnt: Numpy, Pandas, Finance Cloud Compliance, Python
Deep Learning -    Coursera
Aug 2018 - Dec 2019
Skills learnt: Deep learning, Python
The Hardware of a Quantum Computer    EDX
May 2020 - Jun 2020
Skills learnt: Quantum Computing

Projects Reviewed by Alvaro D