Alvaro E
The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Data Scientist Preferred Title
$50.00 /hr $ 80.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
Interview Scores (3.5/5) - Software Engineering Process 4.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 4.0/5
- Logical Thinking 5.0/5
- Technical Strength 4.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 3.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 4.0/5
- Documentation 3.0/5
- Desktop Windows
- Phone Android
- Member Since Dec 30, 2020
- Profile Last Updated Mar 22, 2024
- Last Activity June 28, 2024, 7:35 p.m. UTC
- Location Venezuela
Profile Summary
I'm graduate of Computer Science with knowledge of Machine Learning and Deep Learning. My professional experience is based in Data Science/Engineering positions.
Skills
Total Experience: 7+ years
Data Science (2E, 7Y)
2 experiences, across 7 yearsPython (3E, 7Y, 2C)
3 experiences, across 7 years, with 2 coursesNumpy (7Y, 1C)
7 years of experience, with 1 courseTensorflow (7Y)
7 years of experienceFlask (7Y)
7 years of experienceGo (2E, 7Y)
2 experiences, across 7 yearsC++ (5Y)
5 years of experienceOptimization And Simulation Modeling (4Y)
4 years of experienceMachine learning (4Y)
4 years of experienceAWS (4Y)
4 years of experienceSnowflake (4Y)
4 years of experienceAPI Management (4Y)
4 years of experienceR for Statistics (2Y)
2 years of experienceFinance Cloud Compliance (1C)
1 coursePandas (1C)
1 courseDeep learning (1C)
1 courseQuantum Computing (1C)
1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 20h PST, 40h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
UTC
09 - 17
09 - 17
09 - 17
09 - 17
09 - 17
PST
02 - 10
02 - 10
02 - 10
02 - 10
02 - 10
Vetting
- Interview Data
- Software Engineering Process
- Design Practice
- Design Theory
- Technical Breadth
- Logical Thinking
- Technical Strength
- System Design
- Productivity and Responsiveness
- Teamwork
- Agile Development Process
- Intellectual Merit
- Documentation
Experience
Contractor Professor
Contract
Jan 2020 - Present
University Of Carabobo Company
Education Industry
Project: University of Carabobo
- 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.
Backend Developer / Data Scientist
Employment
Oct 2018 - Present
Avanti Financial Services Company
Finance Industry
- 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
Data Scientist
Employment
Aug 2021 - Present
Rappi Company
Ecommerce Industry
- Trained Classifiers for predicting stockouts in store: using supervised models as Random Forest, Gradient Boosting, Logistic Regression and Neural Networks. Used Python, API Management and AWS.
- Iterated Unsupervised and Supervised Machine Learning models for improving performance of them in new versions
- Made AB Testing analysis between different versions of models for verify improvements measuring metrics as found rate, fulfilment rate and other ones. Used Python, Snowflake
- Developed Optimization And Simulation Modeling following the complete pipeline of data: Analysis - Science - Engineering. Golang
Developer
Employment
May 2018 - Jun 2019
Sofoscorp Company
Food and Agriculture Industry
Project: Breeding Birds Optimizer
- 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.
LD Experience
Video Projects
How to implement django-tenant-schemas with a fixed URL
Sep 2020 - Jan 2022
Frontend Developer
Technology
- Data Science
- Python
- Numpy
- Tensorflow
- Flask
- Go
- C++
- Led user research for a new construction site documentation tool.
- Hosted workshops to synthesize user insights into design requirements.
- Designed 3D concepts and built prototypes to investigate new tool form factors.
- Researched existing digital solutions and prioritized key features for app release.
LD Ventures
Thea
Sep 2020 - Jan 2022
Frontend Developer
Technology
- Data Science
- Python
- Numpy
- Tensorflow
- Flask
- Go
- C++
- I used the Django Rest Framework to create a multi tenant API with the aid of the django-tenant-schemas package.
- I used the Postgres Database as the persistence layer and specifically the PostgreSQL Schemas to ensure that all tenants using the API had their data.
- I used the REST architecture in designing my API.
- Researched existing digital solutions and prioritized key features for app release.
Lifelong Learning Projects Reviewed
Qualifications
Education
University of Carabobo
Dec 2014 - Dec 2019
B.Sc (Computer Science)
Courses