About

Arpitanshu is a highly skilled Machine Learning Engineer with over 3.5 years of relevant experience in the field of ML and AI. Currently, he is working as a Machine Learning Engineer - II at gtmhub, where he is responsible for developing ML models and algorithms for predictive maintenance. His work involves building an automated-unsupervised-online anomaly detection and forecasting engine, as well as analytics tools for business metrics such as real-time trend/seasonality change detection, normal/abnormal correlation engine, and explainable anomalies in data streams. Prior to his current role, Arpitanshu worked as a Machine Learning Engineer - II at cliff.ai, where he developed ML backend for the company. He was also involved in building an automated-unsupervised-online anomaly detection and forecasting engine for cliff, which helped the company to improve its productivity and efficiency. Additionally, he built analytics tools for business metrics, which helped the company to identify trends and patterns in data streams. Arpitanshu is highly skilled in ML and AI, and has experience working as a Research Scientist. He is proficient in backend development and has expertise in building ML models and algorithms. He has a Bachelor's degree in Information Technology from guru ghasidas university and has completed a course in Artificial Intelligence & Machine Learning from Indian Institute of Technology, Kharagpur. Overall, Arpitanshu is a highly motivated and skilled Machine Learning Engineer with a passion for developing innovative solutions using ML and AI. He is a quick learner and is always eager to learn new technologies and techniques to improve his skills and knowledge.