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Fiverr Pro
English
$
USD
I will build and deploy ml pipelines with docker,mlflow,and AWS
Data Analyst: Python, Pandas, NumPy and Matplotlib Expert
I'm a Data Scientist and i have experience building End-to-End projects.
I have expertise in EDA and Feature Engineering,
I train model and can evaluate it's performance and accuracy by analying it....
About this Gig
Have a dataset and need a working machine learning model you can actually use in an app, dashboard, or business workflow?
I'll take your project from raw data to a live, deployed model using modern MLOps practices not just a Jupyter notebook that sits unused.
What you get:
- Clean, tested model built with Python, Pandas, and Scikit-learn
- Experiment tracking with MLflow, so you always know which version performs best
- A working API (FastAPI) so your model can be called from any app or website
- Production-ready code with clear documentation no black-box scripts
Tech stack: Python, Pandas, NumPy, Scikit-learn, MLflow, DVC, Docker, AWS, FastAPI, Git, GitHub Actions
Message me before ordering with a short description of your data and goal I'll scope the right package and give you an honest timeline before we start.
Let's turn your data into something that actually works in production.
Programming language:
Python
•
SQL
•
Colab
•
MLflow
•
Amazon SageMaker
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
MLflow
•
Amazon SageMaker
•
Colab
My Portfolio
FAQ
What Kind of data should i provide to you?
Any data relevant to your ML project — structured (CSV, Excel), unstructured (text, images), or a live data source (API/database). If you're unsure what's needed, message me with a brief project description and I'll tell you exactly what to send
What should be the format of data?
Common formats work fine: CSV, JSON, Excel, or Parquet for structured data; folders of images for CV projects. If your data is in a different format, let me know — I can usually work with it or help convert it.
How do you ensure privacy and security of my data?
I only use your data for the scope of this project, never share it externally, and delete local copies after final delivery unless you ask me to retain them. If you need a formal NDA, I'm happy to sign one before we start.
Will you share my project details with someone?
No. Your project details, data, and code stay confidential between us. I don't share client work publicly unless you give explicit permission (e.g., for my portfolio).
Do you provide the trained model, or just the deployment?
Both, depending on your package. I can train a model from scratch using your data, or deploy a model you've already trained — just let me know which you need when you message me.
Can you work with a model or codebase I already have?
Yes. Send me your existing code/model and I'll integrate MLOps practices (Docker, MLflow, CI/CD, etc.) into what you've already built rather than starting over.
Which package do I need if I just want a working API for my model?
The Standard package includes a FastAPI REST endpoint, so that's the right starting point for most API-only requests.
What happens if I need more revisions than included in my package?
Extra revisions can be added as a gig extra, or I'm happy to discuss a custom offer if changes go beyond the original scope.
Do you offer support after delivery, or is it a one-time deployment?
The Premium package includes 7 days of post-delivery support for bug fixes and minor tweaks. For Basic/Standard, additional support can be arranged separately if needed.
