Mathew Miller's Projects
For this activity I have been tasked with analyzing the current trends in various health related and income data. As well, I will need to create charts, graphs and interactive elements to help readers understand the analysis and recommendations.
Explore concise, expert-led tutorials on Excel, Tableau, and Power BI dashboards. Short, insightful videos uploaded in the past yearβmaster data visualization in under 35 minutes per session. Elevate your skills effortlessly.
This project required me to organize and analyze a database of 4,200 past Kickstarter campaigns to uncover any hidden trends. Kickstarter has been hugely successful as a crowdfunding service, but all of the projects have not seen success.
Mastered Excel Pivot Tables with a comprehensive Udemy course. Enhanced data analysis skills, learned advanced functionalities, and gained proficiency in creating dynamic and insightful reports.
In this project I needed to read in a dataset of UFO sightings and have it return results into table within an HTML webpage that was filterable by specific criteria.
Project details required that I build a dashboard of Plotly charts that were dynamically linked to a dropdown menu of test subjects. All of the charts needed to update simultaneously with the selection of a new test ID.
Find a real world problem, analyze it, solve it and create a visualization for presentation. Use Machine Learning in conjunction with Scikit-Learn and/or another machine learning library.
Explore my GitHub repository showcasing five data analysis projects completed through a Udemy Python course. Gain insights into data manipulation, visualization, and statistical analysis through practical, real-world applications where I used Seaborn, Pandas, Plotly, Folium and more.
In this project I utilize several tools to create an automated Forex trading strategy that back tests real historical forex data, implements a trading strategy and executes trades automatically in the live forex markets.
In this project I had to analyze financial records and voter poll data. Then, I had to create a Python script that would calculate various metrics and export the results to a file.
For this project, I had to review six different csv files and understand how they were related to one another. I then designed table schemas to import the information from within those csv's to answer questions about the datasets through specific queries.
For this project I had to analyze a database of various temperature measurements by location at a popular vacation destination. Exploring the database through multiple queries, I had to identify a time that is best suited for travel.
Project details required me to download and group datasets from the City Bike data webpage. I then had to answer questions, identify facts and build charts based on the data.