Hello client, as a Deep Learning Developer and an author of a future scientific paper around a new Deep Learning / Machine Learning programs applied on trajectory segmentation that will be posted on IEEE Access, I'm the right candidate for you.
In fact, I'm pretty comfortable with Python and its data structure, and libraries mainly around ML / DL such as SciKit-Learn, Pytorch, Plotly Seaborn and Matplotlib.
During my multiples internships, I used machine Learning Algorithms for tasks such as clustering using GMM ( Gaussian Mixture), TICC ( Toeplitz Inverse Covariance-based Clustering), and some classicals one for regressions / classification such as SVM / XgBoost / Logistics Regression. And of course doing the visualization to interpret results using diagrams ,charts, and even creating dashboards.
I would be pleased to discuss more details about the job during the interview.
Rayane