About

Gaurav Gopal Gupta is a highly skilled Data Scientist III at Hewlett Packard with a Master of Science in Machine Learning and AI from Liverpool John Moores University London/IIIT Bangalore. With 3.94 years of relevant experience, he has worked on various projects related to Machine Learning, Computer Vision, NLP, Crawling, Hadoop, IOT, Java solutions, Restful Services, Computer Graphics, and more. Gaurav is a lifelong learner who believes in continuous self-improvement, and his passion for Data Science and solving cutting-edge AI problems is evident in his work. He has proven himself as a contributing team member as well as a good leader. In his previous role as a Data Scientist at O.C. Tanner, Gaurav developed a long-term ML strategy to enhance existing products. He integrated recognition and termination trackers within 'GreatWorks' to capture monthly trends by department, country, gender, etc. and used dataset preparation and modeling to predict termination risk scores, retention scores, and rankings for each employee. He also implemented AWS EC2 instances to establish clusters to speed up the working of ML algorithms and used DASK technology to parallelize the code to efficiently use each core of the cluster/local machine during execution of implemented trackers and ML pipelines. As a Software Innovation Head and Data Scientist at Supple Soft, Gaurav worked on various projects, including the HealthyHaat project, where he developed an efficient E-commerce engine using Object Oriented PHP and implemented the Google Map API to design their own map for live tracking of delivery persons, deliverables, and particular areas. He also implemented Haar Cascade Classifier algorithm for face detection and Eigenface based recognition in face recognition implementation using OpenCV in python for the Smart Visual Recognizer project. Gaurav's education background includes a Bachelor of Technology in Computer Science and Engineering from Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, and a Master of Science in Machine Learning and AI from Liverpool John Moores University London/IIIT Bangalore. He is skilled in various technologies such as AWS, SQL, Hadoop, OpenCV, Python, Deep Learning, Java, Kubernetes, Docker, PHP, and Mobile.