An aspiring data analyst who is trying to get their foot in the door and not stuck at the door
A Little Bit About Me
I am an aspiring data analyst with a background in academic research and working with unorthodox data. I am experienced in using Python to analyze data including packages such as pandas, matplotlib, seaborn, numpy, scipy, and etc. In addition, I have working knowledge in SQL, Excel and Tableau. I use personal projects as a means to improve my skill set and to find holes in my understanding. I enjoy using data and statistics in improve my decision making in video games.
Technical skill set obtained from school, project, work and self-learning
For this project, we created a report on copper, gold, palladium, platinum and silver future data. Our goal was to create a dashboard that showcase recent trend in market price of precious metal with the ability to view data on different time scales.
For this project, we looked for what trends may indicate an anime's success and look at big streaming services' choice in anime.
This project is a capstone case study for the Google Data Analytics Course. This project focus on using customer data from Bellabeat's competitor to improve their own product.
This project is a dashboard I created to showcase my own player stats using my match history for the game Teamfight Tactics, and to help me understand how to improve my in game decision making.
An academic research paper on a simulation to show a sufficiently large amount of dark matter is require to recreate a specific galaxy merger.
An 8 week internship ran by the Akamai Internship Program where I created a prototype data pipeline for an open source code project.