You will get Review of your python code including a report
Project details
With years of experience as Python developer I implemented quite some solutions in Python.
The main focus is on machine learning (pandas, numpy, scikit-learn,...), deep-learning with tensorflow, oop, scripting, app developement with pyqt and kivy and web development with flask and django and unit-tests with pytest.
This allows for deeper insights, more accurate feedback, and better recommendations tailored to Python developers' needs.
The report shows how to improve your code and coding-skills with examples
The main focus is on machine learning (pandas, numpy, scikit-learn,...), deep-learning with tensorflow, oop, scripting, app developement with pyqt and kivy and web development with flask and django and unit-tests with pytest.
This allows for deeper insights, more accurate feedback, and better recommendations tailored to Python developers' needs.
The report shows how to improve your code and coding-skills with examples
Machine Learning Tools
Azure Machine Learning, ChatGPT, Databricks MLflow, GPT-3, Keras, KNIME, Kubeflow, MLflow, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$5
|
Standard
$200
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 0 | 1 | 2 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Michael
Expert-Vetted ML Engineer | AI Engineer | Azure
Eichenau, Germany - 10:22 pm local time
As Senior Data Scientist, I am experienced in optimizing Machine-Learning and Deep-Learning-Models, Management of Data-Science-Teams and building MLOps-infrastructures in Azure.
"Business leads, tech advances" - the idea that prioritizing value for the customer's business is paramount, and the technology, use cases and even packages to use must align with the business to realize real business value. From driving innovation through ideation workshops and educating clients on Machine Learning in smaller business environments, to contributing to large-scale enterprise projects with over 50 team members, leveraging state-of-the-art coding and agile practices, my impact has been instrumental in elevating project success across the board.
Continuous Improvement is key, as well in agile software-development when creating a software product and in Data-Science when staying up-to-date with the fastly evolving environment of Machine Learning and AI.
Professional skills:
- Management of Data-Science-Teams (1 + years)
- Machine Learning, Deep Learning, Computer Vision with Python (6 + years and 10+ including studies)
- GenAI, NLP with Python (2 + years)
- Agile software development (6 + years)
- ML-Ops on Azure, AWS and GCP (4 + years)
- Teaching Data-Science (Coding Workshops, Courses) (4 + years)
Supporting Skills:
- Software-Development with Java, C#, PHP, Bash-Scripting (6 + years, 10+ including studies)
- Unit- and E2E-testing (3 + years)
Certifications:
- Azure Data Science Associate
- Azure Fundamentals, Azure AI Fundamentals
- Databricks Generative AI Fundamentals, Databricks for Machine Learning
- Generative AI for Everyone by DeepLearning.AI and Amazon Web Services
- Generative AI with LLMs by DeepLearning.AI and Amazon Web Services
- KNIME Certified: L1, L2, L3
- Scrum Master Certified by bg, Product Owner Certified by bg
- DataIku DSS Certified
- LinkedIn Python Badge Top 15%
Steps for completing your project
After purchasing the project, send requirements so Michael can start the project.
Delivery time starts when Michael receives requirements from you.
Michael works on your project following the steps below.
Revisions may occur after the delivery date.
Check if code is working
Setup of the environment via conda yml or requirements.txt Check if code works. The Code Review is also possible if the code is not working, but it will improve the review if the code works and I can test some refactorings along the way.
Start Deep-Dive into the code
I'm looking into the code and will start the improvements-report. Some questions might occur that should to be clarified in order to give the best suggestions