Mohd Saqib

Currently working on a Food Recognition system in the healthcare domain with a challenge of minimal image data, to detect the various foods present in a plate and tell all of their nutrients. For a client-based QSR, built a DSS (Decision Support System) for customer segmentation, LTV, and churn prediction. Improved Facial Recognition system to achieve 100% accuracy. Built use cases for DataToBiz CV Platform (Face detection, Defect detection, Brain tumor classification). Built a system to detect cell phone in prohibited areas using Nvidia TLT-kit and Deepstream on Jetson nano. Implemented ML powered DSS for a US based transportation company to predict demand and bus occupancies.

Worked on a project to generate a skills roadmap for a user to achieve a job role. Built an NER based deep learning model to automatically extract hard and soft skills from job descriptions/resumes. Built an MVP to extract readings from Indian Digital Electric Meters using YOLO v3. Built a Python script to scrape job description content from job sites.