BIX Tech

Case studyAI & Machine LearningFinance

NLP Questionnaire Analysis for a Financial Group

How BIX Tech used AI and natural language processing to analyze 15,000 questionnaires for a large financial group, finding patterns in the target group without considering gender, race, sexuality, or ideology.

questionnaires of about 10,000 words each
profiles in the target group

The Challenge

A large financial group had 15,000 questionnaires of about 10,000 words each. Of those, 300 came from people who had joined the company, the target group.

The goal was to use AI and NLP to find patterns in that group and apply them to the rest, explicitly without considering gender, race, sexuality, or ideology.

“They were all really smart and professional.”
Human Resources Analyst, Financial groupVerified review on Clutch

The Solution

Three models, each validated with the client

  • Scope design and validation
  • Models based on character counts
  • NLP models
  • A combined model

Each phase was tested and validated with the client's team.

Results

  • Delivered on time and above expectations
  • Good predictive capacity of the algorithm, with rollout planned for the following semester

Client review on Clutch

How the client rated the project

Quality
Schedule
Cost
Willing to refer

5.0 overallReviewed Jul 2021 · online reviewRead the verified review

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Time BIX