Head - Data Analytics Cell at NITI Aayog, Govt. Of India
Dr Avik Sarkar is an Officer on Special Duty (OSD) at NITI Aayog. NITI Aayog (National Institution for Transforming India Aayog) is a premier policy think-tank of the Government of India. Dr Sarkar is in-charge of the Data Analytics Cell at NITI Aayog which provides big data and analytics insights across sectors like Direct Benefit Transfer, Innovation, Digital payments, Healthcare/Nutrition, Agriculture, etc. for efficient policy making. Dr Sarkar is engaged with the Energy Vertical at NITI Aayog instrumental in the various long term planning of future energy needs of India through initiatives like energy sector modelling, energy data management, etc.
Dr Sarkar is engaged with the Energy Vertical at NITI Aayog instrumental in the various long term planning of future energy needs of India through initiatives like energy sector modelling, energy data management, etc.
Dr Sarkar has over 15 years of experience across different aspects of data analytics, statistical modelling, data/text mining across companies like IBM, Accenture, Nokia, NASA, Persistent Systems, etc. In his last role at Accenture Consulting in Singapore, Dr Sarkar contributed to various data and analytics related engagements with Singapore Government like efficient reporting and resolution of municipal issues, evaluation and monitoring of secondary school education, improving operational efficiency in immigration and customs.
While at IBM, Dr Sarkar made significant contributions towards developing the Monte Carlo Simulation of SPSS and the Predictive Maintenance and Quality solution for the manufacturing sector. Dr Sarkar holds a PhD from The Open University, UK, Masters from Indian Institute of Technology (IIT) Bombay and Bachelors from Calcutta University. Dr Sarkar has authored several technical publications and technology patents.
The present invention provides for a method and system for the classification of electronic catalogs. The method provided has a lot of user-configured features and also provides for constant interaction between the user and the system. The user can provide criteria for the classification of catalogs and subsequently manually check the classified catalogs.
A method and system for context based searching of category wise arranged electronic catalog database is provided. The confidence value for each of the retrieved categories is displayed graphically as an indication of the relevance of that category. The percentage impact of each of the query terms on the search result is also shown in a graphical format. Various search strategies and algorithms are used and the output is ranked according to the user relevance. The system is intelligent in the sense that it suggests user with spellings, uses word morphing, synonymous words to user query etc. The user can define weightage to be given to various attributes and also refine his search by searching in particular segments.