Manu Joseph is a self-made data scientist with 10+ years of cross-functional experience spanning Analytics, Software Engineering, and Supply Chain consulting.
Currently, he heads Applied Research at Thoucentric, where he brings cutting-edge AI technology from research to various applications in the industry.
He has extensive experience working with many Fortune 500 companies is enabling digital and AI transformations in their processes, specifically in Machine Learning based Demand Forecasting. He has also authored a book on timeseries forecasting – Modern Time Series Forecasting with Python by Packt.
He is also an active open-source contributor and developed and maintains an open-source library – PyTorch Tabular – which makes deep learning for tabular data easy and accessible.
He is also a contributor to NLTK, where he enhanced the Language Model section of the library, introducing many statistical language models.
His primary research interests are time series, tabular data, deep learning, and natural language processing. He is a blogger, writing in his own technical blog, and a speaker at various AI/ML conferences.
