This section contains projects that focus on Exploratory Data Analysis, Cleaning, Visualisation and Structured Query Language (SQL)
Projects
- WeRateDogs
- Ford GoBike
- Chicago Data Insights
WeRateDogs
The Twitter Data Wrangling and Analysis project involves gathering, assessing, cleaning, and analyzing data from the Twitter platform. It focuses on the WeRateDogs Twitter account's tweets. The project includes data wrangling, data analysis, and two reports: Wrangle Report and Act Report. The goal is to clean the data, derive insights and present key findings. The project's README file provides an overview, explains the dataset, lists dependencies, and includes usage instructions. Overall, the project showcases the importance of data preparation and analysis using real-world Twitter data.
Ford GoBike
The Ford GoBike Data Analysis project focuses on analyzing the Ford GoBike system, a public bicycle-sharing program. The goal of the project is to gain insights from the dataset, which contains information about bike trips, user types, and bike station locations. By analyzing this data, the project aims to understand usage patterns, trip durations, popular bike stations, and user demographics such as age and gender. The analysis provides valuable information that can be used to optimize the bike-sharing system, enhance user experiences, and make informed business decisions.
Chicago Data Insights
The "Chicago Data Insights" is a project that utilizes SQL and Python to analyze datasets related to socioeconomic indicators, schools, and crime in Chicago. By exploring the data, the project aims to uncover insights into the relationships between these factors. The findings are documented in a Jupyter Notebook for easy interpretation.
About Me
Hello, I'm Emuejevoke Eshemitan, a passionate data professional specializing in Machine
Learning Engineering and Data Science. My portfolio showcases projects reflecting my
dedication to leveraging data for insightful and innovative solutions.
As a Machine Learning Engineer, I excel in designing cutting-edge models using TensorFlow and
scikit-learn, building scalable data pipelines, and deploying them in production
environments.
As a Data Scientist, I analyze valuable patterns, develop predictive
models, and communicate insights through impactful visualizations.
Let's collaborate on a data-driven journey! Explore my portfolio for more.