Ditutup

Consumer complaints analysis

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?

Kemahiran: Big Data, Python

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Tentang Majikan:
( 0 ulasan ) United States

ID Projek: #15170965

6 pekerja bebas membida secara purata $63 untuk pekerjaan ini

utkarshkatiyar19

Hi, i have a lot of experience in Big Data and Python and data processing in python. we can have more discussion about your project. thanks Relevant Skills and Experience Big data, Data analysis, Python Proposed Mile Lagi

$100 USD dalam 5 hari
(18 Ulasan)
4.7
akshaynaidu9

Hello, I am applying for this job because I've a keen interest in BigData technology and I’m considering your job post for me with the required capabilities. Relevant Skills and Experience I have good understanding of Lagi

$66 USD dalam sehari
(5 Ulasan)
3.1
$31 USD dalam sehari
(0 Ulasan)
0.0
arshiinbox

A proposal has not yet been provided

$15 USD dalam sehari
(0 Ulasan)
0.0
$25 USD dalam sehari
(0 Ulasan)
0.0
maknojiakazmeen

I have done various analysis on customer data and get insights on where customer is facing a problem that leads to loss of revenue.I can analyze customer [url removed, login to view] getting more insights as desire. Relevant Skills a Lagi

$138 USD dalam sehari
(0 Ulasan)
0.0