This Portfolio contains a mulititude of projects, and practice notebooks. Many projects are found on DataCamp! However, I have added here many notebooks of projects I've worked on throughout my Master's of Data Science, Google Certificates, and Harvad CS109x course. Also, the practice notebooks are just helpful notebooks to help get reaccustomed to certain packages or helpful programming practices!
Project | Description |
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Analyze Your Runkeeper Fitness Data |
Import, clean, and analyze seven years worth of training data tracked on the Runkeeper app. |
Dr. Semmelweis and the discovery of Handwashing |
Reanalyse the data behind one of the most important discoveries of modern medicine: Handwashing. |
Seaborn Practice |
Created multiple plots using different datasets available through Python's Environment |
Project | Description |
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Dr. Semmelweis and the discovery of Handwashing |
Reanalyse the data behind one of the most important discoveries of modern medicine: Handwashing. |
Fatal Car Accidents in the United States |
Every year, NHTSA comes out with a summary fatal car crashes in the United States. My interest with this project was to analyze the data from 2010 to 2020 to determine if a better understanding of the factors that contribute to these accidents can be learned. |
Google Capstone Project |
As a junior analyst in the marketing team, I was tasked to find insights that can explain to us how consumers are using their smart devices by analyzing user’s smart device fitness data. |
Spotify Wrapped Analysis |
Learning to use jsonlite, spotifyr, lubridate and plotly, analyze and visualize personal summary statistics of listening behaviors from January 2022 to October 2022. |
Visualizing COVID-19 |
Visualize the rise of COVID-19 cases globally with ggplot2. Manipulate data frames using dplyr and make plots using ggplot2. |
Project | Description |
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