We're happy to announce that we'll be hosting a DataThon to help Trillium Health Partners Foundation (THPF): https://trilliumgiving.ca/

More details and agenda will be provided when available.

Note it is STRONGLY RECOMMENDED that you have data scientist/data analyst experience as we expect a high degree of experience and will be in the weeds of analyzing during the entire day.

It is also STRONGLY RECOMMENDED that you commit for the full 9am-9pm period as we will start with a briefing of the objectives from the NFPs, time to analyze the data and then finally present our findings.

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DETAILS

We will be helping THPF better understand their donors and potential donors and will require volunteers to do some feature engineering and create machine learning models to predict future behaviour of donors based on cleansed historical donor behaviour data. It is highly advised that volunteers have experience with feature engineering and various machine learning models. Volunteers will be required to discover the data, create insights, build models and present their findings to THPF by the end of the day.

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AGENDA

09:00 - 09:30: Check-in + light breakfast provided by SAS
09:30 - 09:45: Introduction to datathon
09:45 - 10:00: Sponsor presentations
10:00 - 10:15: Not-For-Profit partner presentations
10:15 - 10:30: Presentation about the data that was cleaned and is being shared
10:30 - 12:00: Data analysis!
12:00 - 13:00: Lunch provided by SAS
13:00 - 19:00: Data analysis!
19:00 - 20:00: Presentations
20:00 - 21:00: Networking

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This inspiring and practical day of data sees the coming together of a multitude of professionals and educators from disciplines that include social sciences, psychology, business analysts, computer scientists, artificial intelligence, machine learning and of course data scientists who all want to help make a difference in their communities.

Over the course of the day the participants will be split into groups and assigned a specific challenge that they will be tasked with trying to solve or deliver insights on for a real world issue facing an organization in the not for profit sector. Outputs from this session could include an executive briefing, recommended courses of action and a detailed review of all the findings.

Outcomes are shared with the sponsoring not for profit as well as the community in general and with a goal of helping these organizations be better equipped for their data journey.