Determine the percentage of customers that won't wait for an item to get restocked.
Answer multiple questions to show your data science skills
Create a model to predict how long it will take a driver to deliver an order
Create a model to recommend bookings to Brazilian Airbnb users
Help a cross-functional Airbnb team grow bookings in Rio de Janeiro
Determine how well a product at Stripe is performing.
Answer questions regarding data from a bike-sharing program.
Preform Open-ended analysis of a data set and make a notebook showing any interesting threads you find
Conduct analysis to discover how to promote Affirm to merchants
Create a model to forecast revenue from sales in the future
Create forecast the revenue of new movies
Create a model to predict if an article is spam or not
Answer multiple questions to show your data science skills
Design and write queries for a KPI dashboard
Determine if a newly launched product effectively reduces overspending (and answer some probability questions).
Estimate the financial impact of launching a new product line on monthly sales.
Create a model to determine if a promotion should be given to a user
Create a model to classify if a piece of text was made a human or a bot.
Find what state Grubhub should focus on for new product development
Complete four short data science questions covering the full breath of the job
Create a model to predict the frequency of high winds that can help estimate how long it takes trucks to flip over in high winds
Determine the most efficient use of space inside a supermarket.
Explore, analyze, visualize, and model Supercell's revenue data
Design a system to show the correlation between the price of a cryptocurrency and Twitter sentiment about the token.
Complete two long-form challenges, to test your SQL and story telling skills
How would you build a product recommendation system?
Write a script to transform the provided CSV to a desired output CSV.
Create a model to predict whether or not a debtor will default on a loan
Build a model that predicts the type of crime as soon as an emergency call comes in.
Given some legacy Python 2 code, identify bugs and errors in the code, reformat the code to Python 3, and suggest other ways to improve the code.
Do exploratory data analysis on user behavior on Gordon Ramsay Masterclass page
Create a model to price daily estimate the shelf value of different food items
Analyze the business prospects for a new e-commerce startup and see if they are worth investing in
Create a model to detect if a transaction on a credit card was fraudulent or not
Create a model predict if a permit is about electrical permissions
Build a model that will predict the probability of a fastball, slider, etc., in a real-time environment.
Create a model that predicts the overall title risk of a property.
Create a presentation with suggestions on how to reduce traffic congestion
Answer multiple questions to show your data science skills
Create a model to predict if a user will click on a link
Write two queries using different approaches to aggregate NPS by client by month.
Identify which features are most important for getting a user to adopt our product
Create a model to predict the probability of a debtor defaulting on a loan
Perform analysis and modeling to access the risk of cyber attacks on healthcare facilities
Create a model to price daily electricity costs for households
Determine if the amount of "busy days" at a hospital affects the discharge rate of a patient.
Perform analysis on a data set of product details that is formatted in an inconvenient manner. Provide suggestions to improve the data model.
Create a model to estimate the acceleration of a car
Evaluate conversion rate predictions by device for a set of entities.
Analyze which pricing method is best for e-learning course
Create a function to parse messy json files
Build a transparent Redis proxy service
Conduct analysis the prices of short-term rentals in Phoenix, Arizona
Conduct analysis to see whether or not more people die during the month of Sha'ban.
How would you allocate the budget you were given to acquire new users?
Build a model to predict the number of order requests per hour for five regions.
Complete two short data science questions covering the EDA and Error Analysis
Give a presentation to help the product and engineering team understand user behavior.
Give a recommendation on how City Year should focus on different types of clients based on survey data.
Answer questions about two data sets that have an usual way of labeling data
Create a model that predicts if a child will likely play Square Panda games in the next seven days.
Create a model to predict if a book-delivery startup will be able to pay back a loan