Skip to content
View luchonaveiro's full-sized avatar
Block or Report

Block or report luchonaveiro

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
luchonaveiro/README.md

Hi there 👋, I'm Luciano 👨‍💻

I live in Buenos Aires, Argentina and work at Wildlife Studios as a Sr Data Scientist. I consider myself as a Data Developer, being exposed to different BI, Data Science and Data Engineer projects.

         

Technologies

Cloud Infrastructure

         

Scripting

         

Orchestration

    

Containers

    

Data Base - Data Warehouse - Data Lake

              

Data Processing

         

Data Visualization

              

Data Transformation - Data Validation

         

Machine Learning

         

API Development

         

Prototyping

    

Testing

    

Working Experience

Wildlife Studios

  • Senior Data Scientist (March 2021 - now())

iúnigo

  • Lead Data Scientist (November 2020 - March 2021)

  • Data Scientist (April 2018 - November 2020)

Seguros Sura

  • Actuarial Analyst (April 2017 - April 2018)

Education

  • Cloud Data Engineering at ITBA Universidad (2020-2021)

  • Actuary at Universidad de Buenos Aires (2012-2018)

Certifications

Popular repositories

  1. dbt-postgres-tutorial dbt-postgres-tutorial Public

    dbt tutorial using a local PostgreSQL database

    HTML 27 16

  2. image-search-engine image-search-engine Public

    Compare two different image search engine approaches developed with Deep Learning algorithms

    Jupyter Notebook 13 7

  3. real-estate-prices-etl real-estate-prices-etl Public

    ETL to scrape a real estate website, process house prices and data, and build an ML model of the house prices.

    Jupyter Notebook 9 2

  4. open-source-data-stack open-source-data-stack Public

    Integrating Apache Airflow, dbt, Great Expectations and Apache Superset to develop a modern open source data stack.

    HTML 6 4

  5. great-expectations-postgres-tutorial great-expectations-postgres-tutorial Public

    Tutorial using Great Expectations library, validating and profiling data on a local PostgreSQL database.

    HTML 4

  6. covid-19-xray covid-19-xray Public

    Jupyter Notebook 2