NLP expertise needed to clean and fit data


We have a short project. Requires expert NLP skills of text cleaning, feature extraction, multi-class/label classification and model fitment.

The task is to build an organisation structure / organnogram given a list of unordered profiles within the organisation.

For example - for a company X with Y employees, we provide their designation and location.

Based on the designation & location of the employee, we predict its function, jobtype & hierarchy.

For example, function = [sales&marketing, hr, finance, IT, ....

jobtype = [hr generalist, hr business partner, compensation & benefits, talent acquisisition, ....

hierarchy = [executive, officer, associate, manager, senior manager, associate director, director,...

With the hierarchy, function, jobtype & location, we arrive at an expected organnogram for the company.

Skills: Data Mining, Data Science, Natural Language, Python, Statistical Analysis

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About the Employer:
( 6 reviews ) mumbai, India

Project ID: #17594647

5 freelancers are bidding on average ₹7777 for this job


Dear sir. Your project attracted my attention at first glance, because I've extensive experience in NLP Programming. I'm really confident about your project, and very eager to join your project. If we have a chance More

₹10000 INR in 3 days
(24 Reviews)

worked on multiple such problems

₹5555 INR in 3 days
(24 Reviews)

I have very good experience in NLU, got highest score in semEval2017 conference which was held worldwide and published two papers on NLP..

₹7777 INR in 3 days
(0 Reviews)

Hi, I have been working on data science for the past 3 years and recently started training on Data science. I'm familiar with machine learning algorithms, Deep Learning concepts. I can solve any text, Image related p More

₹7777 INR in 4 days
(0 Reviews)

Have extensive experience with NLP and currently work with company& industry data everyday. I'd like to get more exposure to different data projects and help you out with my technical skills.

₹7777 INR in 7 days
(0 Reviews)