Project Close

Document Information

Document Title Salifort Motors - Project Close
Author Rod Slater
Version 1.0
Created 01-11-2023
Modified 16-11-2023

Client Details

Client Name Salifort Motors
Client Contact Mr HR Team
Client Email hr@salifortmotors.it
Client Project HR Team Data Driven Solutions from Machine Learning Models

Salifort Project Close

Conclusion of the Salifort Motors Project

Final Report and Deliverables

Executive Summary
HR Summary
Team Summary
Analyst Report

Presentation and Communication

    Conduct a presentation or meeting to share the results with the client and stakeholders.
    Clearly communicate the findings, their implications, and recommended actions in a non-technical manner.

Code and Analysis Repository

Salifort Project - Data Cleanse Ops

Salifort Project - EDA Analysis Ops

Salifort Project - Feature Engineering

Salifort Project - Logistical Regression Modelling

Salifort Project - Decision Tree Modelling

Salifort Project - Random Forest Modelling

Data and Model Validation

The project objective was to develop a ML model that could predict an employee leaving, the notebooks below compare the performance of different models and the project demonstration notebook shows the different models in action.

Salifort Project - Model Comparisons

Salifort Project - Demonstration Model

Data Privacy and Security

All copies of the client data will be deleted once payment has been received along with confirmation that no further work will be required with this dataset.

We are happy to retain this data under secure encryption utilising 2FA for access should further work be required at a later date

Knowledge Transfer and Training

I would be happy to offer assistance to the Salifort HR and IT teams to implement the chosen models.

Full documentation is included in the notebooks, if you need any further support, please send a request.

While the model will operate with the current dataset, I could suggest a number of enhancements to the data collected in order to improve the model's performance.

I would suggest retraining the model whenever there are changes of more than 10% in the workforce to ensure the model is kept up to date with the fast pace of Salifort Motors growth.

Project Closure

I would like to schedule an online or in person close out meeting to ensure that key stakeholders are happy with the deliverables and overall project outcome, and to review any lessons learned along with any areas where improvements could be made.

Invoicing and Financial Closure

At the conclusion of a project and when I'm in receipt of your agreement that all contracted objectives and deliverables have been met with your approval, I kindly request that the attached invoice is settled within thirty days.

Follow-Up and Support

I will be happy to support the Salifort team with any further help the may require.

Key findings

I have identified that employee satisfaction, the number of project they work on, and their last evaluation score as key factors that have a high correlation to employees leaving.

I have developed recommendations based on the analysis which are detailed in the Executive Summary and HR reports. I would like to understand if these recommendations resonate with your strategic vision and if there are specific areas where you would like additional insights or considerations.

I would appreciate your thoughts on the accuracy and relevance of these findings to your business goals.

Feel free to respond with your comments, or if you prefer, we can schedule a brief meeting to discuss the findings in more detail.

To facilitate a timely conclusion of the project, I kindly request your feedback by the end of this quarter. I am committed to addressing any concerns or making adjustments promptly.

I appreciate your collaboration throughout this project and look forward to your insights and feedback.

Thank you for entrusting me with this analysis, and I remain at your disposal for any questions or clarifications.

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