Carry out clustering/ classification/ NLP tasks to create organisation structure


We are looking for a skilled NLP professional to help us complete our project. The project comprises of the following -

1. 5000 candidate profiles in 3 companies each.

2. Each company would have its organisation structure and this would have to be created with prediction capability

The problem -

The data comprises of job titles and may or may not have job description. The data would not be clean (people would have entered text and that would not be consistent).

I will provide the following data -

1. 15000 profiles under 3 different organisations.

Expected Output

The organnogram of all the profiles. This

The classification would be splitting the profiles into functions (HR/ Finance/ Sales & Marketing/ Manufacturing/ R&D/ Procurement & Supply Chain/ Legal...etc.)

After the functional classification, within each function there would be a hierarchy.. This could be derived based on the designation and the function that designation falls under.


We need to experiment to find out which works well.

One approach could be to train one organisation manually and predict the other organisations based on the first training and build up from that.

One approach could be to define the relationships between the designations as and how we find the data.

Keen on understanding your approach and timelines on how long you would take to do this.

Also, Sending one sample profile with this project.

Kemahiran: Kecerdasan Buatan, Sains Data, Pembelajaran Mesin, Bahasa Semulajadi, Python

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Tentang Majikan:
( 0 ulasan ) Mumbai, India

ID Projek: #17449969

14 pekerja bebas membida secara purata ₹26853 untuk pekerjaan ini


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As project falls in NLP category, which is the area where I have mostly worked on so far. So I think I can do this project as state of the art.

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