Fernando AstesanaData Scientist
At the moment, I have two five-year degrees in engineering. During my studies, I taught Mathematics for one year and Numerical Methods for three years. My short-term goal is to continue working in a challenging environment where I can learn about new technologies. As a developer, I believe that the most important aspect of the job is to provide efficient and useful solutions for clients. Regarding personal profile, I am a proactive person who enjoys team-work, and I am keen on applying my knowledge to practical settings.
Tech stack
Python (2)
RedShift (2)
Amazon Web Services (AWS) (2)
PostgreSQL (2)
React (1)
Laravel (1)
AS3 (1)
AWS Lambda (1)
Pandas (1)
PySpark (1)
AWS DynamoDB (1)
AWS S3 (1)
SQL (1)
AWS Step Functions (1)
C# (1)
Entity Framework (1)
REST APIs (1)
.NET (1)
Microsoft SQL Server (1)
C++
TensorFlow
Jupyter Notebook
Keras
JavaScript
C#.NET
MATLAB
Experience
Data EngineerMiAguila
10/2021 - 07/2022

Mi Aguila is a transport, logistics, and eCommerce technology company focused on helping traditional businesses in Latin America thrive in a digital world. My main role here consists in develop ETL process through AWS services that can be easy consume by the BI team and customers. Algo I supported the rest of the team improving metrics and taking decisions. Team size: 1 Data Analyst + 1 Data Scientist + 1 Data Engineer + 1 TL.

AWS DynamoDB
AWS Lambda
AWS Step Functions
SQL
RedShift
AWS S3
PySpark
Python
Pandas
Data ScientistFolderIT
01/2021 - 03/2021

The aim of this project was to analyze the use of two different services of Amazon Web Service called Comprehend and Sagemaker. The client has its own NLP algorithm based on Apache OpenNLP which accomplished the detection of some custom Named Entity recognization (NER). To improve the performance of NER detection and also move the initial project to a cloud-based solution, the decision was to start working on AWS as a maint cloud solution. Two projects were made using, first AWS Sagemaker and the standard NLP models and second, AWS Comprehend customizing the detection of NERs regarding the client's specifications. Once the model for NERs detection was deployed, AWS Comprehend was configured to be used as a Document Text analyzer, providing the corresponded API Endpoint to use the service. This Comprehend Endpoint was wrapped on a custom API service made with Flask (python). The API

Python
Amazon Web Services (AWS)
PostgreSQL
Full Stack DeveloperSinEsperas
01/2020 - 01/2021

Sin Esperas is a Hospital Management Software that allows customers to handle a big range of Hospitals from small to large scale. The system performs users to consult and share their clinic history between the different care centers. It has one database for clients and the other for hospitals, the frontend and the backend/API. The work was made with agile methodologies using Scrum as support. The frontend is responsive and can be used in web browsers.

PostgreSQL
React
Laravel
Data EngineerFolderIT
06/2019 - 06/2020

Proyects of ML and Data engineer

Amazon Web Services (AWS)
Python
AS3
RedShift
Full Stack DeveloperFolderIT
03/2020 - 06/2020

Credin Transfer Gateway is a module that re-directs petitions of transfers between bank accounts, especially the ones that are not within the same bank when third-party services need to be consumed to get the money transfer done. In other words, it directs transfers between BICA accounts (source and target accounts) and to accounts in other banks (source account in Bica and target account in another bank). The module was built to expose a REST API that supports individual transactions (one to one) and transactions in bulk quantities (a source account and any number of target accounts). The source account is always an internal account and the target could be either internal or external. We also had to design and build a component to allow legacy applications built in VB6 to connect to the REST API.

.NET
C#
Entity Framework
Microsoft SQL Server
REST APIs
Education
computer engineeringFacultad de Ingenieria y Ciencias Hidricas - Universidad Nacional del Litoral
03/2015 - Currently
water resources engineeringFacultad de Ingenieria y Ciencias Hidricas - Universidad Nacional del Litoral
03/2010 - Currently