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maurice1979

Welcome to My GitHub Profile!

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Data Scientist | Data Platform Specialist

With over 10 years in Data & Data Science and more than 15 years in the Energy Industry

About Me

Hi there! I'm a seasoned Data Scientist currently working on a Data Platform team, focusing mainly on Spark and AWS Glue. My career spans over a decade in data science, with extensive experience in the energy industry.

  • 🔭 Current Role: Data Scientist at a Data Platform Team
  • 🌟 Experience: 10+ years in data & data science, 15+ years in the energy industry
  • 💼 Specialization: Spark, AWS Glue, Data Platforms

Skills & Technologies

Python
Python 		Machine Learning
Machine Learning 		AWS
AWS 		SageMaker
SageMaker 		Glue
Glue 		SQL
SQL 		PostgreSQL
PostgreSQL

Projects & Contributions

  • 🚀 Data Pipeline Optimization: Optimized data processing pipelines using Spark and AWS Glue, resulting in a 30% reduction in processing time.
  • 📊 Machine Learning Models: Developed predictive models for energy consumption forecasting using Python and SageMaker.
  • 🔧 Database Management: Designed and maintained PostgreSQL databases, ensuring high availability and performance.

 maurice1979

maurice1979

Get in Touch

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Feel free to reach out to me for collaborations, discussions, or any exciting opportunities!

© 2024 Jordi Vidal de Llobatera. All rights reserved.

Jordi Vidal de LLobatera's Projects

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Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

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Data Science and Renewable Energy Blog created with fastpages

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Neural network architecture for time series forecasting.

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Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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Viewing the weather in a CLI has never been this much fun. (ARCHIVED)

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