Dr. Neha Sehgal
Data Scientist
University of Huddersfield & Valuechain Ltd.
location_on United Kingdom
Member since 4 years
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Dr. Neha Sehgal
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Dr. Neha Sehgal is working as a Data Scientist to build data science & AI capabilities for Valuechain in association with University of Huddersfield under Knowledge transfer partnership initiative of Innovate UK. She has 10 years of experience in data science research, training and consultancy. She holds Masters’ degree in Big Data Technology from Hong Kong University of Science & Technology, HK and has a Doctoral degree in Management - Data Analytics from University of Petroleum & Energy Studies, India. Prior to Valuechain, she was associated with Jindal Global Business School, OPJGU as Professor – Data Science and Program Director - Business Analytics since 2012. She has worked on scads of big data projects related to Smart cities, Blockchain, Education and Human Resource sector in association with Big Data Institute, HKUST and Valuechain, UK.
She has been awarded with “Best Poster Presentation” from HKUST Fintech Forum, “Research Excellence Award” from OPJGU, and "Best Paper Award" from ICMI. She has presented her research in various international conferences across London, Portugal, Beijing, Belfast and Taiwan. Her research work has been published in Energy Systems (Springer), Energy Procedia (Elsevier) and Applied Soft Computing (Elsevier).
She has been actively working as Corporate Trainer for conducting trainings on Python, R, Tableau, Machine Learning and Deep Learning. She has trained more than 3000 IT employees from Siemens, HSBC, Well Fargo, Dell, IBM, WNS Global Solutions, TATA-Power, HPCL and IOCL. She has trained more than 5000+ faculties in Malaysia, India, & Hong Kong. She is keen to train IT professionals with know-hows of machine learning, deep learning and AI while working with real life challenging problems.
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Open Data Science for Smart Manufacturing
45 Mins
Talk
Intermediate
Open Data offers a tremendous opportunity in transformation of today’s manufacturing sector to smarter manufacturing. Smart Manufacturing initiatives include digitalising production processes and integrating IoT technologies for connecting machines to collect data for analysis and visualisation.
In this talk, an understanding of linkage between various industries within manufacturing sector through lens of Open Data Science will be illustrated. The data on manufacturing sector companies, company profiles, officers and financials will be scraped from UK Open Data API’s. The work I plan to showcase in ODSC is part of UK Made Smarter Project, where the work has been useful for major aerospace alliances to find out the champions and strugglers (SMEs) within manufacturing sector based on the open data gathered from multiple sources. The talk includes discussion on data extraction, data cleaning, data transformation - transforming raw financial information about companies to key metrics of interest - and further data analytics to create clusters of manufacturing companies into "Champions" and "Strugglers". The talk showcased examples of powerful R Shiny based dashboards of interest for suppliers, manufacturer and other key stakeholders in supply chain network.
Further analysis includes network analysis for industries, clustering and deploying the model as an API using Google Cloud Platform. The presenter will discuss about the necessity of 'Analytical Thinking' approach as an aid to handle complex big data projects and how to overcome challenges while working with real-life data science projects.
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