Data Mining - open to bidding

Cancelled Posted Nov 21, 2014 Paid on delivery
Cancelled 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?

Data Mining Natural Language Python R Programming Language Statistics

Project ID: #6764417

About the project

Remote project Active Nov 21, 2014
teknosoft4

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

$155 USD in 3 days
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