Name: Eddie Amaitum
Type: User
Bio: Data Scientist - Python | SQL | Linux | Spark | AWS | Azure . This is a progressive collection of my work and learnings. Open to collaborations & opportunities.
Location: Metro Vancouver, BC. Canada
Blog: https://www.linkedin.com/in/eddieamaitum/
Eddie Amaitum's Projects
In this repository I build a taxi demand predictor for NYC
An online education platform, faces low lead conversion rates. They seek to identify "Hot Leads" for better conversion. A model is needed to assign lead scores, indicating higher chances of conversion. CEO aims to achieve an 80% conversion rate.
This repository showcases a Music Recommender System project, highlighting my expertise in building recommendation systems using Python and machine learning. Leveraging the Million Song Dataset, it predicts user song preferences, improving user experience and engagement
Performed business operations using Big data technologies: AWS EMR, AWS RDS (MySQL), Hadoop, Apache Scoop, Apache HBase, MapReduce
A collection of learning resources for curious software engineers
Best Practices on Recommendation Systems
Serverless Machine Learning for building AI-enabled Prediction Services from models and features
In this project I build a batch ETL pipeline to read transactional data from Amazon RDS, transform it to a usable format and then load it into an Amazon S3 bucket. The data is then loaded into Redshift Tables, after which I perform analytical queries on the loaded data to gain insights.