KelvinOyanna/Historic-Events-Data

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Python
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GNU General Publi...
Created over 3 years ago
Updated over 3 years ago

KelvinOyanna/Historic-Events-Data

KelvinOyanna

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This project pulls historic event data, create a pipeline that move the data into a Postgresql database.

Churn-Prediction

The goal of this project was to solve the problem of a telecom operator losing customers to its competitor. A predictive model was built with classification algorithms to predict the likelihood of churn (leaving a service) of a telecom subscriber.

Jupyter Notebook

Football-Data-Scrapper-ETL-to-PostgreSQL

In this project, I build a web scrapper to scrappe: football-data.co.uk website and performed Extraction Transformation & loading (ETL) on the screapped data to a Mysql database

Data-Engineering-Learning-Guide

hat aggregates data from multiple sources & consolidate into an Analytics Data warehouse to support organization-wide analytics/reports used by the data analysts, data scientists or the BI team.

Server-Log-ETL-to-Database

This project leverages Python & SQL to Perform ETL and analysis on application users data.

XE-API-And-Internal-Data-ETL-And-Analytics

This repository contains the code, data and resource used to implement an Exchange rate data pull pipeline. The project is part of the requirement for AutoChek's data engineer interview process.

API-Data-Ingestion-to-Data-Lake-using-AWS-Lambda

A data pipeline to pull from a stable API and store it in Amazon Cloud storage

Udacity-Machine-Learning

Contains all resource for Udacity Learning on Machine Learning

Jupyter Notebook

FavCode54

Contains all resource for favcode54 Code Practices

Jupyter Notebook

Grocery-Sales-Report

This project was carried out to understand the factors influencing sales over a period of 5 years. The data used was from a grocery store that captures all the different categories of product and their respective sales. A visualization dashboard was built to unearth the trend in sales pattern.

Access-Database-Data-ETL-To-PostgreSQL

This repository contains the code, data and resource used to implement a data ingestion pipeline and analyzing the data to draw-out some insight. The project is part of the requirement for Kippa interview process.

Sales-Dashboard-Using-Microsoft-PowerBI

This project was carried out to understand the factors influencing sales over a period of 5 years. The data used was from a grocery store that captures all the different categories of product and their respective sales. A visualization dashboard was built to unearth the trend in the sales pattern. The product category, customer segment and customer region/location were used to drill-down the report.

Ingesting-Log-Data-Using-Dask-And-Airflow

The problem: There's lack of visibility into resource usage by the engineering team and other members of the team that has access to the company's cloud resources.

Student-Performance-Prediction

The goal of this project was to predict the future score of students based on their historic performance data. A predictive model was built using regression algorithms (Linear & Logistic regression algorithms) that had 85% accuracy. Much emphasis was placed on handling missing values as well as outliers in the data set.

Jupyter Notebook

Internet-Data-Subscribers-Sentiment-Analysis

The goal of this project is to understand subscribers’ preferences as well as their positive or negative sentiments about internet service providers in Nigeria. The data for the analysis is majorly scraped from twitter via Twitter API and Tweepy (Python library for accessing twitter data). Other tools used includes Natural Language tool kit (nltk) for tokenizing tweets and StreamListener for scheduling and downloading tweets in real-time. The project is currently on-going, while allowing for collection of a robust data set.