Data Science Assessments - Dataframes.xyz
Project scope
Categories
Data analysis Data modelling Machine learning Data scienceSkills
tokenization data science time series analysis and forecasting part-of-speech tagging forecastingWe want to test some of our newest data science assessments that we've recently added to our library. These topics include:
- Regression
- Classification
- Ensemble Modeling
- Dimension Reduction
- Cluster Analysis
- And many others!
These assessments are being used to assess companies' data science candidates at organizations like Prudential, T-Mobile, Sun Life Financial, and others. This platform will also automatically grade and evaluate the quality of responses.
By the end of the project, students should submit a final report (along with any source materials such as code, workbooks, etc) that demonstrates:
- Understanding of the available dataset
- The problem being solved
- Methodologies and approaches
- Outcomes and results
- Recommended next steps for our organization
Our datasets are intentionally messy to replicate the day-to-day of a role. These data sets are:
- Sea water temperatures (time series analysis)
- Breast Cancer Prediction (classification models)
- Enron's CEO's emails (NLP, tokenization, part of speech tagging)
- Many more
Students will connect directly with us for mentorship throughout the project. We will be able to provide answers to questions such as:
- Current product understanding
- Current data set and guidance in navigating it
- Input on choices, problems or anything else the students might encounter
About the company
Dataframes is a data science assessment platform with the mission of optimizing top tier companies' hiring process. We currently work with organizations like Prudential, T-Mobile, SunLife Financial and others. Through our offerings, companies are able to evaluate candidates on a technical level in a much more efficient way. Our team comes from some of the industry's best firms including Accenture, Visa, Royal Caribbean, Yum Brands, and more. We build assessments with real world use cases and purposely use messy data to replicate what should be expected from the day-to-day of the role. As we continue to grow, we are looking to expand our services to benchmarking and upskilling current teams at various companies through custom curriculums.