Srikrishna Venkat's repositories
Darwin-Finches
Statistical exploration of Darwin Finches
Data-Mining-the-Water-Table
Built a supervised classification model that predicts whether a water pump in Tanzania is functional, non-functional or functional but needs repairs.
Divvy-Demand
Built a supervised learning model that predicts Divvy ridership on a given day based on daily weather forecast.
dsp
Metis Data Science Bootcamp - Official Prework Repository
Gapminder
Bokeh Gapminder Data Exploration
hello-world
first repository
Instacart
Built a supervised learning model that predicts whether a customer will reorder a product or not based on prior purchasing behavior. Used unsupervised learning to perform customer segmentation for better product targeting and inventory planning.
MTA-Turnstiles
Created a unique approach to maximize the number of signups for a Women Technology Gala by targeting NYC subway stations near large tech companies.
Sentiment-Analysis
Built a RShiny application that revealed how search frequency of company name on Google and public perception affects companies' value.
Spot-On-Ads
Built a Natural Language Processing model that creates a better advertising experience by getting the emotion imparted by a song on a user.
Kiva
Kiva Crowdfunding Analysis