Currently, as an AI Engineer at MediaLogix, I operate primarily within the Python ecosystem, leveraging its extensive set of libraries and tools for data analysis and machine learning. For example, I heavily use libraries such as Pandas for data manipulation, Scikit-learn for traditional machine learning algorithms, Tensorflow and Keras for deep learning models, and Matplotlib for data visualization.
One project in which I utilized these tools extensively was building a recommendation engine for our online media platform. I led the implementation of a Collaborative Filtering model using Python and Scikit-learn. After cleaning and preprocessing the data using Pandas, we trained our model and finally deployed it to production after rigorous testing. The system's implementation dramatically increased the engagement rates on our platform by roughly 15%.