Hannah Igboke's repositories
Maven-Toys---Sales-performance-analysis.
Maven Toys, a toy company is looking to expand their business with new stores. This is a sales performance analysis focused on analyzing interesting patterns and trends in their data to help them make informed decisions.
A-Scalable-Database-system-for-Olist-store
The aim of this project is to develop, design, and build a comprehensive and scalable database system for Olist Store to handle potential increases in data volume and allow for more efficient data collection, retrieval, and organization.
Customer-Analytics-Preparing-Data-for-Modeling
What are some of the best ways to prepare a large dataset for modeling? In this project, I optimized the memory usage of the dataset to ensure that it is stored as efficiently as possible to allow models to run faster.
Pizza-runner-Business-analysis
Using descriptive analysis to answer business questions and make recommendations to optimize Pizza Runner's operations and drive sales.
25-Days-DAX-challenge
25 days consistency challenge in writing DAX codes used to analyse data to provide insights.
365-Data-Science-Learning-data-challenge
This is my analysis for the learning data challenge organized by 365 Data Science.
Code-Refactoring-and-Bug-Fixing-for-Scribble
This project uses HTTP requests to connect with APIs or web servers for essential data tasks in data science workflows, including retrieval, submission, and updating. In this project, I utilize Python, HTML, and Flask frameworks to refactor and fix bugs identified for the Scribble app.
Danny-s-Diner-Business-analysis
A business analysis on Danny's Diner.
EPL-Soccer-Data--an-exploratory-data-analysis-using-python
This is an exploratory analysis of the EPL soccer data for the 2018–2019 season. Using Python, I identified interesting trends to answer specific questions from the data.
Fitness-tracker---Redmi-Fuel-Band-Record
An analysis of workouts by users of the Redmi Fuel band fitness tracker for the month of January
Innomatics-Internship
What interesting trends can be seen from the AMEO 2015 study? This is a comprehensive Exploratory Data Analysis of the AMEO study using Python. Come see what I found out during my analysis.
Regex-Matching-Web-App-Development
This is a Regex Matching web app that allows users to input a test string and a pattern (regular expression) to search for and displays the number of matches and all the matches found.
Sentiment-Analysis-of-Real-time-Flipkart-Product-Reviews
Integration of a trained sentiment classification model into a Flask web app for real-time inference on product reviews from Flipkart store.