About Dr. Chatterjee
Dr. Joyjit Chatterjee is a dedicated AI innovator and global data scientist, recognized in the Forbes 30 Under 30 Europe list for Manufacturing and Industry. His work focuses on developing AI solutions that aim to enhance energy efficiency and optimize manufacturing processes.
Currently serving as an IT & Digital Data Scientist - Continuous Improvement at Reckitt, a multinational FMCG company, Dr. Chatterjee contributes to supply chain optimization through applied AI solutions. His efforts are directed towards minimizing waste, optimizing quality, and enhancing productivity.
In his previous role as an R&D Data Scientist (KTP Associate) at Reckitt, Dr. Chatterjee developed AI models for shelf-life prediction and optimization of healthcare formulations. This project received the "Certificate of Excellence - Outstanding" from Innovate UK and was highlighted as a KTP success story by Ashorne Hill.
Dr. Chatterjee's expertise extends to the renewable energy sector, where he has contributed to data-driven operations and maintenance in the wind industry. His work in this area earned him the Green Talents Award from the German government and has been featured in global platforms such as the World Economic Forum and IEEE.
Recognized as a Global Talent by UKRI and the UK Home Office, Dr. Chatterjee offers voluntary AI advice to various sectors and has served as an expert reviewer on European Commission projects.
Dr. Chatterjee's academic journey includes a PhD in Computer Science from the University of Hull, UK, focusing on explainable AI for wind turbine maintenance. He also holds a PGDip in Research Training from Hull, a Professional Certificate in AI from Oxford, and a CPD Course in Business from Cambridge. His academic foundation was laid at Amity University, India, where he earned a Gold Medal in B.Tech Electronics & Communication Engineering.
As an active contributor to the academic community, Dr. Chatterjee has published in top-tier AI and engineering venues, including conferences like NeurIPS and KDD, and journals from Wiley, Elsevier, and Cambridge University Press. He has also filed patents and shared his insights through talks on global platforms.
Dr. Chatterjee's international experience includes roles as a Visiting Researcher at the University of Bremen, Germany, and Tamkang University, Taiwan. He regularly serves on committees for leading conferences and journals, bringing a global perspective to these academic forums.
A certified Scrum Master and avid globetrotter, Dr. Chatterjee continually seeks new challenges. His accolades include the Best International Knowledge Exchange Award, PhD Scholarship, Employability Award from Hull, grants from IEEE and Microsoft, and the Young Researcher Award from IEEE UK & Ireland.
Dr. Chatterjee's research interests span cutting-edge areas of AI, including Deep Learning, Natural Language Processing, Knowledge Graphs, Causal Inference, and Time-Series Analysis. Through his work, he strives to contribute to innovation across industries and promote a more efficient, sustainable future.
Career Journey
IT & Digital Data Scientist (Supply Chain) - Continuous Improvement
Reckitt
Oct 2023 - Present
- Developing AI-driven solutions for optimizing supply chain and manufacturing processes.
- Created a holistic manufacturing data model for Continued Process Verification (CPV), identifying key factors to reduce waste and save costs.
- Contributing to the uptake of a "data & AI first" approach for continuous improvement across manufacturing stages and QC processes.
R&D Data Scientist (KTP Associate)
Reckitt
Oct 2021 - Sep 2023
- Developed an AI app for shelf-life prediction, resulting in significant cost and time savings.
- Contributed to the transformation of Reckitt's AI landscape in R&D applications.
- Received Certificate of Excellence - Outstanding from Innovate UK for project outcomes.
Postdoctoral Researcher
University of Hull, UK
Oct 2021 - Oct 2023
- Conducted R&D in hybrid AI models for pharmaceutical and nutraceutical product development.
- Mentored PhD students and delivered guest lectures in AI/ML.
Expertise & Skills
Dr. Chatterjee's skill set encompasses cutting-edge AI technologies and industry applications, enabling the development of accurate, scalable, and transparent AI solutions:
Core AI & ML
Deep Learning Machine Learning Natural Language Processing Computer VisionAdvanced Techniques
Explainable AI Transfer Learning Causal Inference Time Series AnalysisTools & Frameworks
Python TensorFlow PyTorch Scikit-learnData & Analytics
Big Data Analytics Data Visualization Statistical Analysis Predictive ModelingSelected Publications
For a complete list of Dr. Chatterjee's publications, please visit his Google Scholar profile.
Automated Question-Answering for Interactive Decision Support in Operations & Maintenance of Wind Turbines
Chatterjee, J., Dethlefs, N. | IEEE Access, 2022
Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future
Chatterjee, J., Dethlefs, N. | Renewable and Sustainable Energy Reviews, 2021
Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines
Chatterjee, J., Dethlefs, N. | Wind Energy, 2020
Contact
Email: joyjitece@gmail.com
LinkedIn: www.linkedin.com/in/joyjitchatterjee
Google Scholar: View Profile