Earned a Master's degree in Data Science from Stevens Institute of Technology. I have a passion for developing cutting-edge Computer Vision applications and Machine Learning algorithms to analyze sports and other fascinating areas. I thrive on solving complex problems and turning data into actionable insights.
- Python: Proficient in TensorFlow, BeautifulSoup, PyTorch, pandas, matplotlib, Keras, scipy, and many more.
- R: Skilled in data analysis and visualization.
- iScout Sport Tracking: Experienced in sports data tracking and analysis.
- Computer Vision Annotation Tool (CVAT): Adept at annotating and preparing datasets for computer vision projects.
- Roboflow: Competent in using Roboflow for dataset management and model training.
- MS Visual Studio: Skilled in coding, debugging, unit testing, and utilizing AI productivity tools.
- RapidMiner AI Studio: Used to streamline data cleaning, visualizations, and auto-Machine Learning on large data sets.
- Dynamic Route Optmization (DRO): Familiarity with dynamic route optimization software used in delivery routing.
- IBM β Deep Learning with TensorFlow
- IBM β Computer Vision and Image Processing Essentials
- IBM β Introduction to Intelligent Virtual Agents with IBM watsonx Assistant
- Microsoft β Computer Vision with Microsoft Azure
- Columbia University β Visual Perception
- Edge Impulse β Computer Vision with Embedded Machine Learning