MLOps, AutoML and web development

Contract type:Freelancer
Client:Manufacturer of geoinformation software
Task:Evaluation and testing of AutoML and MLOps methods with Python, development of a web survey with the Python library Flask, including database transfer
Time period:07/2023 to 01/2024
Technologies:Python, JavaScript, HTML, Pandas, Geopandas, Numpy, Sklearn, MLflow, Autokeras, PyCaret, Tensorflow, Flask, Bootstrap, Hugging Face, SQLAlchemy, Jupyter Lab, VS Code, Gitlab, Docker, Jira, Confluence

On behalf of a manufacturer of geoinformation software, I developed an ML test data set with geographic content using Python as part of a project. This data set was used to evaluate and test various AutoML and MLOps procedures. The recommendations derived from this are to be applied in a future research project.

I also developed a web interface for a survey using the Python library Flask. The web survey included interactive selection menus that draw their content from a Postgres database and store user input.

All results and tools were saved in an internal GitLab repository

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