Raiyan Azami is a Data Scientist with 4+ years of experience in driving data science and machine learning initiatives. He has a strong proficiency in Python and Django, managing projects from data collection to model deployment.
Developed and deployed NLP and Deep Learning models for text and image data.
Built a web application to identify and classify road cracks using CNN and SVM.
Created a custom Wheel Visualizer, training a model with 10,000 car images for object detection.
Developed a healthcare salary prediction model using multiple regression algorithms.
Managed end-to-end data science projects, from data collection and feature engineering to model deployment.
Successfully developed a web application for automated road crack detection and classification.
Developed a predictive model for healthcare salary estimation, providing valuable insights into compensation trends.
Overview: Developed a custom Wheel Visualizer allowing users to preview different wheel models on their vehicles. Responsibilities: Implemented Detectron object detection to identify wheel positions (x,y) and size (width, height) on car images. Trained a custom machine learning model using approximately 10,000 car images with front and back wheel annotations.
Key outcomes:
Successfully developed a custom wheel visualizer application that integrates object detection and machine learning for personalized vehicle visualization.
Overview: Developed a web application to identify and classify cracks from road images or videos. Responsibilities: Trained a CNN deep learning model and SVM classifier to identify cracks on uploaded road images and videos. Integrated image processing techniques using OpenCV to enhance crack identification.
Key outcomes:
Successfully developed a web application for automated road crack detection and classification.
Overview: Developed a predictive model to accurately estimate total employee compensation in the healthcare industry. Responsibilities: Applied and refined multiple regression algorithms to predict employee compensation based on job roles and organizational structure.
Key outcomes:
Developed a predictive model for healthcare salary estimation, providing valuable insights into compensation trends.
Raiyan Azami
Data Scientist