Assessfy Business Functions Lab Advanced 6 milestones 100 marks

Attrition Prediction and Retention Strategy Model for Indian IT Services Firms

Function: Human Resources Industry: IT Services Function: Human Resources Type: Business-function applied project Team: up to 4 Assessment: 6 milestones (100 marks)

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About this project

Objective: To develop a data-driven model that predicts employee attrition and recommends targeted retention strategies for an IT services firm in India.

Employee attrition is a critical challenge for Indian IT services firms, impacting project continuity, client satisfaction, and organizational costs. High turnover rates among skilled professionals hinder growth and disrupt knowledge flow in a highly competitive sector.

The project will use employee data (internal and from public datasets like IBM HR Analytics), HR best practices, and predictive modeling to identify key factors contributing to attrition, segment risk groups, and design actionable retention interventions.

Deliverables include an attrition prediction model (using Python/Excel), dashboard visualization of key metrics in Power BI/Tableau, and a set of evidence-based retention strategies tailored to high-risk employee segments. The analysis will be supported by frameworks such as the Herzberg Two-Factor Theory and Employee Lifecycle Model.

This project equips decision-makers with actionable insights to reduce attrition, optimize HR spend, and boost employee engagement, directly supporting strategic workforce planning and business continuity.

Milestones

1. Problem Definition & Business Case

10 marks 18d

Develop a clear problem statement, define scope, and present the business justification. Review via project proposal and oral feedback.

2. Domain Research & Data Gathering

12 marks 22d

Conduct literature review, benchmark HR best practices, and collect relevant internal/public HR datasets. Deliver research summary and data inventory for review.

3. Solution Design / Methodology

15 marks 18d

Design the attrition prediction model framework, select variables, and finalize analytical methods. Submit methodology document for faculty evaluation.

4. Build / Analysis & Implementation

28 marks 35d

Develop and validate the predictive model, visualize results, and identify attrition drivers. Submit code, dashboards, and interim findings for review.

5. Validation & Results

25 marks 30d

Test model accuracy, interpret findings, and formulate actionable retention strategies. Deliver validation report and strategy recommendations for assessment.

6. Final Report & Presentation

10 marks 17d

Compile the comprehensive project report and deliver a professional presentation with business recommendations. Review based on clarity, impact, and implementation feasibility.

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Upcoming sessions

Session	Window	Enrolled
Attrition Prediction and Retention Strategy Model for Ind...	11 Jun 2026 to 10 Jun 2028	0

Skills you'll learn

IT ServicesHuman ResourcesHR analytics and workforce planningPredictive modeling and data analysisBusiness problem structuringData visualization with Power BI/TableauCommunication and stakeholder reportingUse of Python and Excel for HR dataApplication of HR theories to practice

Tools used

MS Excel (data cleaning & EDA)Python (scikit-learnpandas)Power BI or Tableau (dashboarding)SQL for data extractionPublic datasets (IBM HR Analytics Employee Attrition & Performance)Herzberg Two-Factor TheoryEmployee Lifecycle Model

Prerequisites

Basic Human Resource ManagementStatistics or Business AnalyticsIntroduction to Data Science or PythonOrganizational Behaviour

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