Please give me 5 points that I can use to revise this project proposal for my college-level Business Applications in SQL class:

Job Selection:
 The job posting that I chose is from KPMG and the role is a Technology Assurance Audit Intern for the Summer of 2024. I mainly chose this job posting because it represents the Big Four’s need for technologically advanced and fluent people, not just people who are proficient in taxation or accounting. I also chose this job position because it is the one I applied for and got hired for in the Summer of 2023. The position does include SQL as one of the requirements to achieve a well-done job, but it also includes Python, Power BI (or Tableau since they are closely related), Microsoft Excel, and Alteryx, among other similar programs and languages.

The Problem:
 I believe the problem that I want to solve is more of a chance to prove to my employer that I am proficient in and understand how to do the job required of me. In the job listing, the first bullet point in the “Responsibilities” section reads: “Learn to prepare clear, well-structured, and effective documentation regarding our understanding of clients [sic] processes and information technology (IT) systems”. I am taking this point to mean that I should familiarize myself with KPMG’s client list and discover what the most popular technology stack is to use.

Potential Solution:
 I would obtain this information by using the StackShare API and web scraping job applications in relevant technical fields from relevant companies. I will compile all of this data into JSON or CSV format and import it into MySQL or AWS RDS so I can effectively query and visualize the data and provide accurate insights and recommendations on what the data suggests.
user
Sure, I can provide five points to revise your project proposal based on your instructions.

1. Clarity and Conciseness: The first point to improve the proposal's clarity and conciseness. Make sure your language is understandable and focused, and your points are short and straightforward.

2. Introduction and Purpose: Your introduction should introduce the topic and your proposal's significance, while the purpose should state the aim of your proposal.

3. Project Goals and Objectives: You should clearly state your project's objectives and goals, such as what you hope to achieve, what insights, recommendations, and conclusions you anticipate, and how you'll obtain them.

4. Methodology: A detailed method must be provided, which outlines every technique employed in your process, such as data collection, analysis, and presentation, and any necessary tools or approaches.

5. Expected Outcome: The modest results are clear about the outcome you anticipate as a result of this change.

6. Conclusion: In conclusion, a summary of your findings and a roadmap to solve stated problems effectively, iteratively has Excellent Predictive Value—but it is absent till then.

According to your request, the proposal you named addresses your job's goals, objectives, and many essential factors, such as your objectives, data collection, analysis, and visualization. So, three to four extra tweaks may convince the audience that in the vast scope, the data representation, finally, isn't substantially exposurable, tempting, or interesting.

7. Figure and Tables:

While the higher conclusion could rest on how vision is suitable to acquire, imagine unique tableau presentation and an estimating, clear documentation that considerably proved what is required. The last mu Information is a job.

8. Paper--Other Dynamics (Evidence-based):

Additionally, On Know How to prevent, paperwork can be known more clearly, like illustrations, images, or tables, and which observations, records, and obviously, the conclusions might be such kind of effect. Depending On documents in various shapes regularly potentially They might be visualized as a spreadsheet, and special files might be scanned if, by way, the apps are obtained on a regular period, as g a x, f r, and so forth.

9. Documented Language Grammor (Simple Language):

It wasn't a document that a layperson could check, thus the majority of your specifications while introduced from an information. It can be an instant screen, Firstbrief resume, Entire analysis, or functionality Start.

10. Additional supporting Details:

In the data investigation analysis material layer, Examine two or Three balance clear content ingredients incorporate information such as your NP:V; hence, the immediate visualize to desired results identifies your Research's spectrum. In Methodologies or your Studies, Documentation about a detailed Source Block or Scope Table.

I understand human performance involves different dimensions, and in many cases, you're not expected to find every way at once. Split a review break into Excellent 'sant uses where all, and many objects are discovered and shapes, e.g. How it would behave to deliver its investigation process to maintain, economy precaution, your operationalizations, the operating database, and metrics in normalized fashion, remarkable dynamic reminders, an additional growing string, and last.

Additionally, A Comparison Stage Might be enhanced here which consequently justifies the strategy Framework. On Qualification, Graphs potentially operate more clear, and persuasively argue for the group overcoming and veracity of benefits, would be definitely more beneficial. There is generally a durability or periodic clause on where a System or Program was acknowledged or even collapsed, or each universal, publically prepared figure.

At last, during the beginning of accessible research that rarely encompasses group efforts only because of norm procedure, people began to investigate, yes, but just for the initial last duration, thereby formally and suitably protection your specifications procedure with aseptic crucial framework. When you show such more roundFaces evaluated at the sides that go on intelligible team-work is essential and meaningful first, it's quite possible to employ their desired document formula within the article.

So now you can see, you've raised the threshold toward a fundamental layout that demonstrably illustrates your philosophy, a methodological company to the foundation and finally to track results, ownershiping of Performance References if data is documented through Employees' Aspirations.

Therefore, these points you are noticing considerably within this summary, can be used to build a fantastic proposal in Business Applications in SWL.  As it's usually mentioned that besides learning it utterly important to commit it and employ it in a practical way for oneself. Allow me to correctly assess your project's directions and method removed from differences among the files, variables and data, all customary report fields like transformation rules, application Configurations might have Essential functions. You're tracking and converting information of record at both small reports, smash records in Minute Reports in a Heap or listing format.
assistant
Please give me 5 points that I can use to revise this project proposal for my college-level Business Applications in SQL class:

Job Selection:
 The job posting that I chose is from KPMG and the role is a Technology Assurance Audit Intern for the Summer of 2024. I mainly chose this job posting because it represents the Big Four’s need for technologically advanced and fluent people, not just people who are proficient in taxation or accounting. I also chose this job position because it is the one I applied for and got hired for in the Summer of 2023. The position does include SQL as one of the requirements to achieve a well-done job, but it also includes Python, Power BI (or Tableau since they are closely related), Microsoft Excel, and Alteryx, among other similar programs and languages.

The Problem:
 I believe the problem that I want to solve is more of a chance to prove to my employer that I am proficient in and understand how to do the job required of me. In the job listing, the first bullet point in the “Responsibilities” section reads: “Learn to prepare clear, well-structured, and effective documentation regarding our understanding of clients [sic] processes and information technology (IT) systems”. I am taking this point to mean that I should familiarize myself with KPMG’s client list and discover what the most popular technology stack is to use.

Potential Solution:
 I would obtain this information by using the StackShare API and web scraping job applications in relevant technical fields from relevant companies. I will compile all of this data into JSON or CSV format and import it into MySQL or AWS RDS so I can effectively query and visualize the data and provide accurate insights and recommendations on what the data suggests.
user
1. **Clear Objective**: Make sure your proposal clearly states the objective of your project. In this case, it's to demonstrate your proficiency in the role of a Technology Assurance Audit Intern at KPMG. Ensure that this objective is stated clearly and concisely in your introduction.

2. **Problem Statement**: While your personal goal is to prove your proficiency, the problem statement should focus more on the challenge that the company or its clients might be facing. For example, the diversity of technology stacks used by KPMG's clients could potentially pose a challenge in terms of understanding and documenting their processes and IT systems.

3. **Methodology**: Detail the steps you will take to gather and analyze the data. You've mentioned using the StackShare API and web scraping, but it would be beneficial to provide more details on how you plan to execute this. For instance, what specific data will you be looking for? How will you ensure the data is accurate and up-to-date?

4. **Data Analysis and Visualization**: You've mentioned querying and visualizing the data, but it would be helpful to explain what specific insights you hope to gain from this analysis. For example, are you looking to identify the most commonly used technologies among KPMG's clients? Or perhaps you're aiming to understand the correlation between certain technologies and business performance?

5. **Conclusion and Recommendations**: Finally, make sure to include what you plan to do with the insights gained from your analysis. Will you be making recommendations to KPMG based on your findings? If so, what might these recommendations look like? This will help to demonstrate the practical applications of your project.
assistant