Data Mining - open to bidding
$30-250 USD
Paid on delivery
Task:
Use dummy data to maximize revenue from direct marketing campaigns.
Data:
For the analysis, several tables are available:
Social-demographical data (age, gender, tenure in a bank)
Products owned + actual volumes (current account, saving account, mutual funds, overdraft, credit card, consumer loan)
Inflow/outflow on C/A, aggregated card turnover (monthly average over past 3 months)
For 60 % of clients actual sales + revenues from these are available (training set)
Conditions:
The bank has capacity to contact only 15 pct. of the clients (cca 100 people) with a marketing offer and each client can be targeted only once.
Proposed steps:
1. Create an analytical dataset (both training and targeting sets)
2. Develop 3 propensity models (consumer loan, credit card, mutual fund) using training data set
3. Optimize targeting clients with the direct marketing offer to maximize the revenue
Expected result:
Which clients have higher propensity to buy consumer loan?
Which clients have higher propensity to buy credit card?
Which clients have higher propensity to buy mutual fund?
Which clients are to be targeted with which offer? General description.
What would be the expected revenue based on your strategy?
Project ID: #6764417
About the project
Dear Prospect Hiring Manager. Thank you for giving me a chance to bid on your project. i am a serious bidder here and i have already worked on a similar project before and can deliver as u have mentioned I have More