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Branavan Nagarajan's Projects

chainlink-mix icon chainlink-mix

Working with smart contracts with eth-brownie, python, and Chainlink.

financial-report icon financial-report

In this project, I simulated the responsibilities of a data visualization developer at Yahoo Finance by visualizing stock information pertaining to Netflix. In finance, a stock profile is a series of studies, visualizations, and analyses that dive into different aspects a publicly traded company's data. For the purposes of the project, I will only visualize data for the year of 2017. Specifically, I will create the following visualizations: The distribution of the stock prices for the past year Netflix's earnings and revenue in the last four quarters The actual vs. estimated earnings per share for the four quarters in 2017 A comparison of the Netflix Stock price vs the Dow Jones Industrial Average price in 2017 During this project, I will analyze, prepare, and plot data. The intention behind this project is to provide visualizations that will aid the financial analysts asses the risk of the Netflix stock.

jeopardy---hypothesis-testing icon jeopardy---hypothesis-testing

Employed teachings from Codecademy Data Science pathway to analyze .csv file containing 216,931 jeopardy questions. Focused on cleaning and analyzing this large dataset. Concluded with developing a random question generator.

kiva-visualization icon kiva-visualization

Employed Seaborn to visualize insights using a dataset from Kaggle. I explored the average loan amount by country using aggregated bar charts, box plots, and violin plots. Additionally, I nested the data by gender, allowing myself to draw additional insights from my charts.

rollercoaster icon rollercoaster

Used pandas, numpy, and matplotlib to gather useful insights from a large dataset concerning roller coasters. Created various graphs to highlight pertinent insights.

twitch-matplotlib icon twitch-matplotlib

Used SQL to analyze and sort through the dataset provided by Twitch (800,00 entries). Following the initial analysis, matplotlib was used to visually display important trends and information.

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