About

Prodip Hore is a highly experienced Director of Machine Learning & Artificial Intelligence at American Express with over 14 years of applied R&D industry experience in ML & AI. He has created teams from scratch and is known for his notable R&D efforts that have created value and meaningful directions. He is specialized in Artificial intelligence, Machine learning, Data Mining, Statistics, Image processing, Data Scientist, and Hadoop. Prodip has improved the stability of Generative Adversarial Network for generating artificial data to help build robust predictive models on domains having small data. He has also developed a high accuracy NLP model involving customization of the state-of-the-art Transformer Algorithm by using encoder stack and Attention Mechanism. He communicates regularly with stakeholders to understand ML/AI needs and conceptualizes and formulates problems, and acts as ML & AI advisor to multiple teams and encourages best practices. Prodip's past experience includes being a Senior Data Scientist (R&D) at elevate (spin-off from think finance) and Lead Scientist at fair isaac. He has designed and applied a variety of state-of-the-art machine learning/data mining and artificial intelligence algorithms to solve production-grade real-life problems involving large datasets. He has also built predictive models to detect fraud using supervised learning algorithms, such as Neural Network, Linear and Logistic regression, C4.5 decision tree, ensemble methods, etc. Prodip is experienced in account/device level profiling and personalization techniques for building meaningful machine learning models. He has also worked with unsupervised learning algorithms, such as k-means, fuzzy-c-means, etc., to process large datasets by designing and implementing single pass and streaming variants of the clustering algorithms. He is consistently recognized as a strong innovator. Prodip has a Ph.D. in Computer Science and Engineering from the University of South Florida, Tampa, and a Master's degree in Computer Science from the same university. He also has a Bachelor of Technology (BTech) in Computer Science from the Institute of Engineering and Management (IEM, Saltlake, Calcutta). He is proficient in programming languages such as C/C++, Perl, Awk, Matlab, Octave, Java, and R. Prodip's technical skills include ML, AI, Research Scientist, NLP, Python, Data Scientist, Image Processing, Adversarial Networks, Hadoop, Supervised Learning, Java, Deep Learning, Big Data, Neural Networks, and C. With 15.38 years of relevant experience,