Personal Projects
Quantified Self Project
This is a personal analytics project that aims to improve awareness of daily activities so that I can implement positive changes to my lifestyle.
I have to admit I’m not the most disciplined person, and so I have employed a dashboard to keep me in check. Working with data in a professional setting, I wondered why I could not apply this to myself, with my productivity, health and wellbeing being the KPI (Key Performance Indicators).
Click the button below to read about my process of creating this project.
TFT Analysis
This is an analysis of the Riot Game TeamFight Tactics, which is an AutoChess Game.
This is a game I play very often, so I thought I might as well make a project out of it. This analysis works on determining the most effective compositions and champions that are in the game based on past results, the statistics that are computed can help guide your decision making while playing the game.
Click the button below to link to the Github Repository.
Spotify Playlist Analysis
This project focused on categorizing music based on attributes assigned to songs by Spotify, such as loudness, valence etc.
This project focused on categorizing music into genres depending on attributes assigned to each song on Spotify. Spotify assigns attributes to each song, for example, danceability, loudness, acousticness, liveness etc. The end goal was to discover if there was a trend amongst genres, this could potentially be useful in making specialized playlists for people depending on attributes. I imported my personal playlist as test data.
Click the button below to link to the Kaggle notebook.
