Data Scientist specializing in Computer Vision and Recommendation Systems.In my current role, I've been contributing to the development of document parsing capabilities, involving object detection (document components: Tables, Text, Titles, etc.) and their extraction using SOTA computer vision models. I work on developing the pipeline end-to-end, from training models to deployment.Previously, I have also worked on recommendation systems and data storytelling. My expertise in recommendation systems includes collaborative filtering, multi-armed bandit techniques, and matrix factorization. I have a proven track record of effectively communicating data-driven insights to a diverse audience, bridging the gap between technical complexity and practical applications.Additionally, I've actively participated in multiple machine learning competitions, consistently achieving top rankings by implementing a wide range of machine learning models.Skilled in the following:1. Programming Language: Python2. Machine Learning and Visualization: Pandas, NumPy, Scikit-Learn, SQL, Plotly, Dash, OpenCV3. Deep Learning: PyTorch, Detectron2, FastAPI