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Build Python AI, Data analysis & NLP scripts for your thesis

$165
Quantity
1
Delivery in
5 days
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What you get with this Offer

Are you a university student or researcher struggling to write the code required for your dissertation, thesis, or academic paper?

As a University Lecturer and Honorary Research Fellow with a PhD in Computer Science, I understand exactly what academic examiners and peer reviewers look for. I don't just write generic code; I write mathematically sound, cleanly documented scripts that align perfectly with your research methodology.

I specialize in building custom scripts and software prototypes in Python, Java, or Kotlin for research involving Artificial Intelligence, Natural Language Processing (NLP), and Data Analysis.

With this Offer, you will receive:

A custom, bug-free script tailored strictly to your research objectives.

Extensively commented code that you can easily understand and explain in your viva/defense.

A clear README file with step-by-step instructions on how to run the code.

A brief summary of the algorithms used, ready to be referenced in your Methodology chapter.

Why choose me?
I bridge the gap between high-level academic theory and practical software development. I know the standard expected at the undergraduate, MSc, and PhD levels.

(Note: I strictly adhere to academic integrity guidelines. This service provides the technical software to help you analyze your data or prove your hypothesis; I will not write your actual thesis for you.)

Let’s get your research working. Send me a message, and let's discuss your project!

Get more with Offer Add-ons

  • I can also craft the exact prompt you need for the kind of problem you want to solve

    Additional 1 working day

    +$27
  • I can deliver all work in 3 working days
    +$27

What the Freelancer needs to start the work

To ensure I build the exact software prototype or data model required for your academic research, please provide the following:

Your Research Brief: A clear summary of your research question, hypothesis, or the main objective of your thesis.

The Dataset: The specific dataset you are using (e.g., CSV, JSON, telematic data, text corpora) or details on how you plan to collect it.

Required Frameworks/Algorithms: Any specific libraries (e.g., TensorFlow, PyTorch, NLTK, Scikit-learn) or algorithms your university supervisors have requested you use.

Academic Guidelines: Any specific formatting or documentation standards your university requires for the code submission.

Timeline: Your absolute final deadline for when you need the working prototype ready for your defense or review.