Generative Analytics

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Generative Analytics

Streamlining Data Analysis with Generative AI

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Project Overview

Project Name

Generative Analytics

Industry

Objective

Introduction

Project Introduction

Our client sought to revolutionize their data analysis processes by integrating generative AI solutions. They envisioned an application where users could upload Excel sheets, ask questions, and receive comprehensive data analysis reports generated through advanced natural language processing (NLP) techniques. They required a platform that could translate natural language queries into code, execute the necessary functions, and present the results in a user-friendly format.

Problem

THE Problem

The main challenge was to develop an intuitive application that could handle complex data analysis tasks with minimal user input. The application needed to:

Allow users to upload Excel files effortlessly.
Translate natural language questions into executable code.
Perform the required data analysis functions accurately.
Convert the analysis results into comprehensible natural language responses.

Solution

The Solution

We proposed developing the application on Streamlit, a powerful and flexible platform perfect for building custom data applications. Our approach involved leveraging large language models (LLMs) to handle the NLP tasks effectively. This project exemplifies how generative AI can be harnessed to create powerful, user-friendly applications that democratize data analysis and enhance productivity across various sectors.

How It Work

Here's how it works

It puts out accurate job specifications and leverages AI to produce job postings that reach the suitable candidate.

I searches career portals and social media for top candidates, and automatically matches resumes to job descriptions, ensuring only the most suitable candidates are shortlisted

The platform helps with interview questions and provides specialized tests to assess candidates’ skills.

Facilitates the job offer to negotiation and final onboarding process to its best capabilities

━ Key Features

User-Friendly Interface:
Developed a clean and intuitive interface on Streamlit where users could easily upload their Excel files.
Natural Language Processing:
Integrated advanced LLMs to understand user queries and translate them into SQL or Python code needed for data analysis.
Automated Code Execution:
Implemented a backend system that executes the generated code, processes the data, and retrieves the results.
Natural Language Responses:
Designed an NLP layer that converts the technical results back into simple, natural language explanations for the user.

Technologies

Tools & Technologies

Feedback

Client Feedback

“This platform has already made a huge difference. The amount of time we’re saving is incredible, and the automation is working exactly as we hoped.”

Martyn

Results

Deliverables:

It puts out accurate job specifications and leverages AI to produce job postings that reach the suitable candidate.

I searches career portals and social media for top candidates, and automatically matches resumes to job descriptions, ensuring only the most suitable candidates are shortlisted

Benefits:

The platform reduces the proportion of manual tasks in the recruitment process to a very minimum, thus allowing HR professionals to focus on more strategic work.

CV matching and candidate assessments through AI help the platform avoid human intervention and shorter time-to-hire, and decrease the possibility of hiring the wrong people.

It is extensively cost-effective because, through automation, it eliminates burdensome tasks and thus is able to conduct recruitments at relatively cheap costs

━ Conclusion

The deployment of this generative AI solution significantly streamlined the client’s data analysis workflow. Users could now quickly upload their data, ask complex questions in plain English, and receive detailed reports without needing to write or understand any code. This not only saved time but also reduced the dependency on specialized data analysts, empowering all team members to make data-driven decisions efficiently. Whether you’re dealing with SQL databases or Excel files, the possibilities are limitless when combining the power of NLP and Streamlit.