Team Leader & Tech Problems Solver at Cloudhesive
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Cloudhesive LATAM
Data Scientist
June 26, 2026 – Present
aws-iot-community-projects
June 23, 2024 – July 23, 2024
Este repositorio contiene proyectos y ejemplos prácticos para utilizar AWS IoT. Encuentra tutoriales, demostraciones y casos de uso que te ayudarán a aplicar los servicios de AWS IoT. La comunidad es bienvenida a contribuir y compartir conocimientos. ¡Explora, aprende y colabora con nosotros!
View Projectcharlas-pub
May 8, 2024 – May 8, 2024
Contenedor de recursos de las charlas impartidas por @alvarongg
View Projectredis_node_caching_example
June 16, 2023 – June 22, 2023
redis_node_caching_example — Dev.to repository
View Projectgame-deals-analytics
June 11, 2023 – April 4, 2024
game deals analytics platform for CoderHouse Data Engineer Course
View Projectf1_analytics
June 10, 2023 – August 28, 2023
Open Source application for Analize F1 data and expose in a dashboard - Using a free API, it generates a system that allows analysis of the historical and current information of Formula 1 drivers and teams
View Projectentrevistas_data
October 28, 2022 – October 28, 2022
entrevistas_data — Dev.to repository
View Projectglue_connection_validator
February 8, 2022 – February 8, 2022
Validate connections from AWS Glue to Databases via JDBC with Serverless Framework
View ProjectQSLcardGenerator
June 11, 2019 – July 24, 2019
QSL Confirmation Cards Generator ( For Amateur Radio Events )
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and open-source contributions, indicating a proactive and self-driven learning approach. The diversity of projects, from F1 analytics to AWS IoT, suggests a broad technical curiosity. However, the 'experienceLevel' is 0, and the listed 'Data Scientist' role at Cloudhesive LATAM has a future start date, implying no current professional experience in the target role. This raises concerns about immediate cultural fit for a senior role requiring established team collaboration and industry best practices.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there's no information on collaboration, problem-solving approaches, or communication style.