PORTFOLIO

Why I love Python

As a person new to the field of tech, coding was very daunting at first. I had tried it out in highschool, but it was simple html and css, nothing like the complex codes you sometimes have to write to tease insights out of data and create decent visuals. Python seemed hard at first glance, but as I got more into it, I realised the language was very simple and almost intuitive. The best thing with programming, is that once you learn one language, it's pretty simple to pick another one up.

When it comes to using Python for analysis projects, I quite enjoy using Jupyter Notebooks as my tools of choice because of the layout of the programme. I like that each piece of code sits in little cells. Spyder also works really well for analyses, but it's usually more suited for data science in my experience. As for packages, I really enjoy using `NumPy` and `Pandas`. They're really simple and quite powerful. What I appreciate most about Python, is that you don't really need to import many packages into a project to get the work done.

Projects

Feel free to have a look at the different case studies I have managed to work on so far. The code is not provided for all of them, but please feel free to reach out to me, and I'll be happy to share!

HPE Stock Performance Study

Sector: Finance
Focus: EDA
Overivew: Understanding the stock's performance over time
Country: USA

Learn more

Loan Repayment Study

Sector: Finance
Focus: Data Wrangling, EDA, Visualisation
Overivew: Understanding borrower metrics to determine loan repayment
Country: N/A

Learn more

Client Social Media Report

Sector: Marketing
Focus: APIs, Web Scraping, Data Wrangling
Overivew: Using the Twitter API to gather social media insights for the client
Country: Worldwide

Learn more

No Show Appointment Study

Sector: Health
Focus: EDA, Visualisation
Overivew: Gather inisghts from patient data to answer my research questions
Country: Brazil

Learn more