About

Nanda Kishore Joshi is a highly skilled Data Scientist with over 6 years of experience in the field of Machine Learning and Artificial Intelligence. Currently working with a.p. moller maersk, he is responsible for developing and implementing AI solutions to improve the overall operational efficiency of the company. Nanda has worked on a range of projects, including time series forecasting, live anomaly detection, autotuning regression models, and optimization systems using Reinforcement Learning. He has hands-on experience with platforms like DSS, Azure AutoML, Azure DataBricks, and MLFlow environment, which he effectively uses to create CI/CD for all his work. Prior to this, Nanda worked with myyogateacher, where he led the Data Science team and built machine learning and deep learning models to improve data understanding and user experience. He has extensive experience in building automatic live yoga pose recognition, summarizers, and A/B testing frameworks using advanced statistical techniques. Nanda has also worked with NTT Data as a Data Analyst, where he used SVM and Boosting techniques to predict production job failures and built time series models to predict data traffic. Nanda has a Master of Science degree in Machine Learning and Artificial Intelligence from Liverpool John Moores University and a Post Graduate Diploma in Machine Learning and Artificial Intelligence from IIIT Bangalore. He also holds a Bachelor of Engineering degree in Electronics and Communications Engineering from SJB Institute of Technology, Bangalore. Nanda is passionate about exploring new technologies related to Blockchain and building meaningful projects combining Blockchain and AI. He is also interested in writing about his experiences and thoughts on technology. In his free time, Nanda likes to ride and travel. He is a startup enthusiast and enjoys connecting with people with similar interests to discuss travel stories, Blockchain investments, AI, and business ideas over coffee. Nanda is skilled in ML, NLP, Reinforcement Learning, Blockchain, XGBoost, Computer Vision, Azure, AWS, Deep Learning, SVM, MySQL, Python, SQL, CI/CD, Naive Bayes, CNN, OpenCV, Big Data, Flask, Hadoop, GCP, and many other technologies.