In this case study we explore data from a fictional bike-share company, Cyclistic.
Using Excel and R - I cleaned, analyzed, and presented 2021 bike-sharing data to help Cyclistic derive insights to be used for an upcoming 2022 marketing campaign.
Data exploration of
worldwide COVID-19 deaths dataset using PostgreSQL.
NOTE: The date range of the data analyzed was December 2019 - November 2021.
Used multiple queries from the COVID Deaths - Data Exploration project and visualized them in Tableau.
NOTE: The date range of the data analyzed was December 2019 - November 2021.
Performing some exploratory data analysis using pandas and matplotlib with a Kaggle dataset - Netflix Titles
Found a dataset on The Office on Kaggle. It being one of my favourite shows, I couldn't help myself and jumped right into the data.
Custom, dynamic budget tracker that I built for the Arcane marketing teams to use.
This tracker MUST be used with Google Sheets - uses the Query() function (unavailable in Excel).
NOTE: All client info and metrics have been randomly generated.
Google Data Studio dashboard template used for certain Arcane clients. The dashboard layout is focused around a client's main KPIs/objectives.
NOTE: Client name has been removed, campaign names have been changed, and client metrics have been randomized.
Completed while at George Brown College - for this project, our group pitched a new branch of Uber services - UberCare.
Completed while at George Brown College - our group pitched a new marketing campaign for Spotify to target university students, specifically very physically active students referred to as 'Gym Rats'.