🐐 Geit provides contribution insights on software group projects that use Git

A web app to get actionable insights into your Robinhood Portfolio

Takwimu is a free and open development information service, transforming access to high quality analysis and data for African changemakers. Accessible at https://takwimu.africa/

Metrocar is the final project of MS's Data Analyst course. By identifying user drop-offs, implementing dynamic pricing, and recognizing key user segments for targeted marketing, this project demonstrates my ability to enhance revenue and improve user experience.

This project involved a thorough analysis of sales data from Amazon merchants. I focused on understanding, cleaning, and exploring the 'sales_data.xlsx' file to provide actionable insights. The goal is to empower Amazon sellers with valuable information to enhance their strategies and improve performance on the platform.

A Predictive model that can predict the Wine Variety and extract Actionable Insights from Critic Reviews

In this project, I use the 'Python Programming Language' to analyze a given dataset obtained from a shopping mall's database in a bid to increase sales by better marketing clusters.

🖥️ Intelligent Apple macOS system health monitoring script with actionable insights, Spotlight indexing detection, and educational guidance for system administrators

This is a Data Analysis case study done on the Foresight Pharmaceutical Company dataset.

This repository presents a proof of concept for an insurance analytics solution aimed at improving core processes such as risk assessment, claims management, and customer insights. The project utilizes data-driven methods to enhance decision-making and operational efficiency.

In this project, I use Microsoft Excel to perform data analysis on a given data set.

This is an Exploratory Data Analysis done on Istanbul Shopping dataset from kaggle.

📊 Data Analytics Project – Insights & Visualizations This repository contains a complete data analytics workflow — from raw dataset exploration to actionable insights. It demonstrates data cleaning, transformation, analysis, and visualization using Python and popular data science libraries.

Predict the value of single-family homes using a machine learning regression model.

Embark on a journey through personalized movie insights with "Movie Match" and delve into predictive modeling with "Micro-Numerosity Analysis." Uncover demographic features and reviews, blending sophistication with actionable intelligence in YBI Foundation's Analytics Hub.

This is my Google Data Analytics Certificate case study for the Cyclistic ride-sharing company

This is an Exploratory Data Analysis done on the Amazon Product Sales dataset from kaggle.

In this project, I use the SQL language to describe and analyze a given dataset in MYSQL DBMS.

This is an Exploratory Data Analysis done on an Automobile dataset from kaggle

In this project, I visualized and analyzed a company's Human Resource dataset using the Tableau BI tool in a bid to draw insights that are set to gauge the company's attrition rate.