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anomaly-detection-models

Credit card anomaly detection

dashboard-sanfran-bikeshare-rental-demographics-tableau

Tableau Dashboard exploring San Francisco Bike Share Data. With focus on exploring rental demographics like, the ideal customer, busiest stations, and what days the most rentals occur.

dataengineeringnanodegree-capstone-project

Capstone Project for Udacity's Data Engineering Nanodegree ~ ETL pipeline with very basic ML implementation to predict future Cryptocurrency prices

dataengineeringnanodegree-p1-datamodelingpostgresql

Data modeling with Postgres and build an ETL pipeline using Python.

dataengineeringnanodegree-p2-datamodelingcassandra

Apache Cassandra database which can create queries on song play data to answer the questions, and wish to bring you on the project. Your role is to create a database for this analysis. You'll be able to test your database by running queries given to you by the analytics team from Sparkify to create the results.

dataengineeringnanodegree-p3-clouddatawarehouse-aws

ETL pipeline that extracts their data from S3, stages them in Redshift, and transforms data into a set of dimensional tables for their analytics team to continue finding insights in what songs their users are listening to. Then we will test the database and ETL pipeline by running queries given to us by the analytics team from Sparkify and compare your results with their expected results.

dataengineeringnanodegree-p4-datalakes-spark-aws

Using Spark and data lakes to build an ETL pipeline for a data lake hosted on AWS S3. First we will load json data from an S3 bucket and process the data using a Spark cluster on AWS, into analytical tables and utilizing a star schema. Then we will load the tables into a new S3 bucket.

dataengineeringnanodegree-p5-datapipelines-airflow-spark-aws

Utilizing Airflow's built-in functionalities creating a reusable ETL pipeline. Source data resides in a S3 bucket, and the pipeline should include data quality checks and data should be processed within AWS Redshift.

dbt-tutorial-course

manny-brar.github.io

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

real-time-news-sentiment-analysis-pipeline-gcp

With all the negativity in news headlines recently, it can be a real strain on mental health when you are constantly bombarded with negative news articles and headlines. This project was intended to assist, when you just need a break from negative news articles and want to filter news by positive, neutral or negative sentiment. This was the problem I wanted to create a solution for and by developing a pipeline that performs real-time sentiment analysis on news articles and allows for the user to filter results based on positive or negative sentiment of each article.

retail-sales-eda---profit-prediction-gcp

The objective of this project is to determine the ‘health’ of all 3 product categories in this dataset. We want to understand and capture trends & seasonality, but also predict profits for each category for the next couple years. While doing so, I will explore some of the best models and statistical methods to work with and make predictions with time-series data.