Bellabeat project

Analyzed how customers were using smart devices in order to discover insights that would inform Bellabeat company marketing strategy. Used R programming language to analyse the data and to visualize my results and to provide possible recommendation that the company would consider applying.

ALX team project.

In a team of 6 people, we came up with a project which was centered around the exploitation of farmers in Kenya by middlemen. Our solution was to develop a platform that would connect farmers to consumers through cooperatives.

Video Team Project

Within a team of 6, we recorded a video explaining in more depth what our project was about and even our proposed solution and how it would work.

School project

Analysed retail data and discovered insights that would inform the retail company. The insights gained were to help the company understand what was going on in their sales. I used Excel to analyse the data by creating pivot charts and visualising the results.

Predicting California House Prices

The goal of this machine learning project is to create a predictive model that can accurately estimate the prices of houses in California. By training the model on data, it will learn the underlying patterns and relationships between the features and prices, enabling it to make accurate price

Mining bitcoin data from wikipedia

This project employed the use of a pre-trained model for sentiment analysis to analyse the sentiment surrrrounding bitcoin as expressed in wikipedia using python, and utilizing libraries like transformers aggregeating sentiment scores over time to create time series data.

Car Data Analysis and Dashboard Creation Using Power BI

In this project, the goal was to leverage data analytics to gain insights into car-related data and create interactive dashboards for informed decision-making. I chose Power BI as our analytics and visualization tool due to its robust capabilities for data modeling, visualizations, and ease of use.

Ethereum Price Prediction Using Machine Learning

This project aimed to develop a machine learning algorithm that predicts Ethereum's price, addressing the challenges investors and traders face due to the cryptocurrency market's high volatility.