Thank you for taking the time to view my portfolio, if you have any feedback please let me know I'm always happy to learn and grow on my data journey!
You can find my Python Project on Weekly Walmart Sales here and an investigation into Life Expectancy here
SQL Project on player retention for a video game here.
(The Jupyter Notebooks could require refreshing several times due to size)
Walmart Weekly Sales: Looking into how external factors can affect weekly sales and creting a regression model to try and predict future sales.
Skills Used: Pandas, NumPy, Seaborn, Matplotlib and SciKit Learn
Global Life Expentancy: Examining Life Expentancy against both medical and socio economic factors
Skills Used: Pandas, NumPy, Seaborn, Matplotlib and SciKit Learn
SQL: An analysis of the 30-Day retention rate for a game company.
Skills Used: Windows Functions, Temporary Tables and Multi-Nested Queries
Having completed the intensive Data Analytics Bootcamp at Juno College I have the technical skills outlined in the job description. In order to demonstrate the skills I developed I worked on several projects, some collaboratively and others independently, which use a combination of Python, SQL, Tableau and Excel/Google Sheets to draw significant insights and evaluations into a given dataset. Windows functions in SQL and the Pandas, NumPy, SciKit Learn, Python libraries are some of the tools present in these projects.
Having past experience as an executive trainee and graduating as a civil engineer there are transferable skills you are looking for problem solving, and the ability to communicate at a variety of levels. My degree in Civil Engineering taught me more than just the physics behind a structure, it taught me how to look at a situation from a variety of angles in order to determine the best course of action.
Thank you for your time and consideration. I look forward to meeting with you to discuss my application further. If you'd like to further connect email me: [email protected] or you can book a time that suits you better through Calendly or LinkedIn.