Projet_10_OCR_Data_Scientist

AI Project Scoping and Planning

Overview

This project focuses on the scoping phase of an AI project rather than model development itself.

The goal is to structure an AI initiative from a project management perspective by defining requirements, organizing work, estimating resources, and preparing a clear presentation for decision-makers.

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Project Deliverables

This repository contains the main deliverables created during the scoping phase:

• a project backlog in Excel format
• a spreadsheet used for project planning and estimation
• a presentation deck summarizing the proposal

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Method

The workflow of the project was:

1. analyze the client or business need
2. define the scope of the AI initiative
3. identify the main tasks and priorities
4. organize the work in a structured backlog
5. estimate resources, constraints, and planning elements
6. summarize the project in a presentation format for stakeholders

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Repository Structure

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├── 01 - Backlog.xlsx
├── 02 - Tableur.xlsx
├── 03 - Présentation.pdf
└── README.md

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Main Takeaways

This project helped me practice:

• AI project framing
• requirement structuring
• backlog design
• workload and planning estimation
• stakeholder-oriented communication

It also highlighted that a successful AI project depends not only on modeling skills, but also on good preparation, prioritization, and project governance.

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Author

Jérôme Le Gal
Data Science student