Wells Fargo - Campus Analytics Challenge 2022
Speaker
Determine Transaction Categories Using Machine Learning and Natural Language Processing
When
-
Where
Virtual Competition
Description
At Wells Fargo, our data scientists play a key role in driving innovative and meaningful insights that enable our lines of business to provide a world-class experience to our stakeholders. The Campus Analytics Challenge 2022 (“Challenge”) puts you in the role of a data scientist and calls you to use Machine Learning and Natural Language Processing to predict transaction categories. The dataset is small enough that you should be able to work with it on a standard laptop.
To help get your creative juices flowing, we encourage you to explore Machine Learning and Natural Language Processing research, literature and beyond, as you may find a creative approach in other sub-fields of data science.
Challenge Background: It is no surprise that financial companies need to help their customers organize their finances. Customers want to know what they spend their money on to keep balances in check. By categorizing transactions and building better customer engagement tools, Wells Fargo can help customers identify frequent purchases and subscriptions, sort income and activity liability with higher accuracy, and reduce credit risks.
Transaction categorization is the ability to recognize the purpose of a transaction based on its description. For long, this process was done manually but now technology can do it efficiently.
This Challenge will focus on Natural Language Processing using the power of Machine Learning to predict which category a transaction will fall into, given the description of the transaction.
- Challenge Starts ⇒ 12:00:01 p.m. ET on 06/13/2022
- Challenge Submission Deadline ⇒ 12:00:01 p.m. ET on 07/13/2022
- Submissions Judged ⇒ 07/14/2022 – 08/05/2022
- Potential Finalists & Winners Notified ⇒ 08/10/2022 (on or about)'
- One (1) first place prize $7,500
- One (1) second place prize - $5,000
- One (1) third place prize - $2,500
- Five (5) finalist prizes - $1,000 each