Vaibhav Nohria

Motivational leader and organizational problem-solver with advanced supervisory, team building and customer service skills. Experience stepping into roles and quickly making positive changes to drive company success. Focused on using training, monitoring and morale-building techniques to maximize employee engagement and performance. Personable and dedicated customer service representative with extensive experience in industry. Solid team player with upbeat, positive attitude and proven skill in establishing rapport with clients. Motivated to maintain customer satisfaction and contribute to company success. Articulate, enthusiastic and results-oriented with demonstrated passion for building relationships, cultivating partnerships and growing businesses.

• Research Paper: Hybrid Support Vector Machine and Distance Classifier for Breast Tumor Detection
• Patent: Automated Attendance and Surveillance System

• Performed time series forecasting for predictive analysis on large datasets by using a logistic regression model
• Face detection system using machine learning, by using the OpenCV library and deep learning
• Advance face detection and extraction using computer vision models like Dlib, SSD
• Face recognition for security systems in videos and images using computer vision
• Developed a fully functional, dynamic website using HTML, JavaScript, and PHP, implementing interactive front-end features, and server-side processing to ensure a seamless user experience and data handling
• Analyzed Australian Taxation Office (ATO) data to uncover new insights, applying data mining techniques to identify trends, anomalies, and actionable patterns that were not immediately evident in the raw dataset

• Programming with Python, Microsoft
• Computer Vision, Coursera + IBM
• First Aid Training, CBD College
• Fire & Safety Training