CASE STUDY

CV Parsing - Automating Candidate Information Management

Custom Software Development
BFSI

Project Highlights

Scope

  • Developed a system to parse resumes from job portals and LinkedIn to extract candidate information.
  • Implemented an autofill functionality to populate relevant fields in a custom form.
  • Streamlined the process of managing candidate information for recruitment workflows.

Challenges Overcome

Integrated LinkedIn and job portal parsing to extract accurate and relevant candidate data.

Automated field population to eliminate manual data entry and reduce errors.

Ensured compatibility with various resume formats and data structures.

Business Impact

The project delivered significant improvements to the client’s operations.

Data Processing Speed

Accuracy in Information Extraction

Manual Effort Reduction

Recruitment Efficiency

These advancements enabled the client to streamline recruitment workflows, improve data accuracy, and enhance operational efficiency.

The Client

The client is a prominent financial institution and a key player in the global banking sector. Renowned for its innovative approach to digital banking and customer-centric services, the client offers a wide range of financial products, including retail, corporate, and investment banking.

  • Operates an extensive network of branches and digital platforms, serving millions of customers worldwide.
  • Recognised as a leader in adopting cutting-edge technologies to enhance operational efficiency and customer experience.
  • Committed to sustainability and innovation, driving positive change in the financial industry.
BFSI-Client

The Problem

The client needed a solution to:

  • Upload candidate resumes from job portals and LinkedIn efficiently.
  • Extract relevant information from resumes and populate form fields automatically.
  • Reduce manual data entry errors and improve the speed of processing candidate information.

The Solution

BGTS implemented a tailored solution to meet the client’s needs.

Resume Parsing Integration

Connected the system with LinkedIn and job portals to extract relevant candidate data accurately.

Autofill Functionality

Designed an automated system to populate form fields with extracted information, minimising manual effort.

Data Compatibility

Ensured the system could handle various resume formats and structures seamlessly.

Team & Technology

Tech Stack Utilised

Frontend

  • ASP.NET MVC
  • HTML
  • JavaScript

Backend

  • Entity Framework
  • Microsoft SQL Server
  • Resume Parsing APIs

Team Composition

2 backend developers

1 frontend developer

1 project manager

The Outcome

The CV parsing system transformed the client’s candidate information management process.

Faster Candidate Processing

Reduced the time taken to process resumes from job portals and LinkedIn.

Improved Data Accuracy

Automated field population minimised manual entry errors.

Enhanced Recruitment Workflows

Streamlined candidate information management, improving hiring efficiency.

Scalable Solution

Designed to handle growing volumes of resumes and adapt to new job portal integrations.

This solution enabled the client to optimise recruitment operations, ensuring faster and more accurate candidate data management.