Removing dublicate views in the SQL view

R machine learning application that performs forecasting on pharmaceutical medicine sales data using information obtained form NHS (UK) General Practitioner (GP) datasets.

The Retail Recommender System is a Shiny-based web application that provides recommendations for cross-sell opportunities using association rule mining. Built with R, it analyzes customer transacti…

This Shiny web application analyzes product transactions to discover frequently purchased product pairs and visualize the relationships between them. The app uses association rule mining (Apriori a…

This project demonstrates how to use Apache Kafka Streams to detect fraudulent activities by analyzing IP logs in real-time. By processing the streaming data, the system flags potential fraud by id…

In this project I import an open dataset from socrata that contains airport codes, latitude coordinates and longitude coordinates for 13,429 US airports.

The project focuses on the development and deployment of an ELT (Extract, Load, Transform) pipeline utilizing industry-standard tools such as dbt (data build tool), Snowflake, and Airflow. The pipe…

In this project, I explored the Apache Kafka concepts such us asynchronous messaging, real-time stream processing, logging and monitoring, event sourcing, and real-time analytics.

Loking for a job in data science? In this project, I have "scraped"(taken from the web) 1000 job descriptions for companies

Welcome to my repository for building a Directed Acyclic Graph (DAG) using Apache Airflow for analyzing top-level domains (TLDs). This project aims to provide a robust framework for systematically …

This repository holds code for installing and configuring the databriks SDK with Go on Visual Studio Code for ELT tasks with Spark SQL and Python

🚗 DriveSafe: Your Guardian Angel on the Road 🛡️ Stay alert and safe behind the wheel with DriveSafe! Powered by facial recognition and machine learning, it detects signs of fatigue in real-time, en…

In this project I explore and analyze the students data to see how the study reached its conclusions and gain a better understanding of it. Specifically, I explore and analyze how the length of sta…

This is a data pipeline for predicting stock prices using Apache Spark, Apache Cassandra, and machine learning techniques. It collects and preprocesses stock data from Alpha Vantage API, engineers …

Reanalyzed the data behind one of the most important discoveries of modern medicine: handwashing

This is a repository containing the course work that I have done in the course "Technical Writing: How to Write Software Documentation" on Udemy offered by Jordan Stanchev