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Consumer complaints analysis using Big data concepts

Project work:

Data Collection – Source dataset will be collected from publicly available data on [url removed, login to view] etc.

Data Cleansing – Openrefine opensource data cleansing tool will be used to clean and filter the messy semi structured data sets in to clean usable data sets.

Data Loading – Data will be loaded to Hive tables on Big Data platform.

Data Analytics/Data Mining – Data will be analyzed and mined to get insights.

Data Visualization – Final graphical output in an easy way to understand the complex data insights will be presented using data visualization tool

Use cases:

Present consumer complaints by year with in a financial institution?

What is the response time for each financial institution?

Which financial products has more complaints with in a financial institution?

Forecasting complaints trend within a financial institution?

Skills: Big Data

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About the Employer:
( 0 reviews ) Bangalore, India

Project ID: #15203793

5 freelancers are bidding on average $193 for this job

utkarshkatiyar19

hello, I can do this project easily. I have good knowledge of big data

$200 USD in 5 days
(2 Reviews)
3.6
pradeepred

Have 10 years of IT experience with more than 3.5 years of experience in hadoop technologies like hive,sqoo p,pig,spark,map reduce and [url removed, login to view] have good experience in Java,scala,Python and shell scripting. Did more More

$165 USD in 10 days
(2 Reviews)
2.3
gowtham390

Hi.. This is my first project in Freelancer and wanted to start with Bigdata as I'm working in the same domain from 3 years. Bids are just numbers and it is totally your wish to pay for the work done. Please get back More

$111 USD in 7 days
(0 Reviews)
0.0
shivdengre

I am working on Big Data Spark Product based Company and work on different project during my 7 years experience. Relevant Skills and Experience I have done development using Big Data technology stacks Spark , Scala, More

$277 USD in 7 days
(0 Reviews)
0.0
$211 USD in 3 days
(0 Reviews)
0.0