Ditutup

Financial industry 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: #15171060

6 pekerja bebas membida secara purata $307 untuk pekerjaan ini

VirtualBrainInc

I have briefly checked the description on web development, and I can deliver as per the requirements however I need us to discuss for more clarity on the details, deadline and budget as well. Relevant Skills and Exper Lagi

$155 USD dalam 3 hari
(0 Ulasan)
0.0
rishianand001

A proposal has not yet been provided

$220 USD dalam 15 hari
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cyash61

We are an analytics consulting firm based in Mumbai. We will have an analyst and a lead assigned to the project and the delivery shall go through 2 step reviews. [url removed, login to view] Relevant Skills and Experience 6 Lagi

$600 USD dalam 25 hari
(0 Ulasan)
0.0
$555 USD dalam 10 hari
(0 Ulasan)
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$155 USD dalam 3 hari
(0 Ulasan)
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Rohithkoripalli

I can give my free time for this project and I can code in python. I have earlier undergone through a project from Kaggle. "Titanic" which gave me 70 percent. I can also deal with the deadlines. Relevant Skills and E Lagi

$155 USD dalam 3 hari
(0 Ulasan)
0.0