Theme: Analytics Everywhere: Unleash the power of Data
20 years of Strong Leadership Roles with Analytics driven Business Strategy. He has designed Analytics & Digital Capability buliding strategy and Roadmap for major businesses of ABG. Trained and developed 600+ Business Citizen Data Scientists across ABG in 3 years. His expertise lies in Customer Analytics and Segmentation, Big Data, AI/ML usage across key customer touchpoints. He has experience across Retail and Card domain across Customer Life Cycle. He also has experience in hiring, training and developing Start Up Analytics teams in R, SAS and Python. He has handled Consumer & Business portfolios in India & North American markets and his exposure across industries including Online, FMCG, Media. He completed MMS in Marketing from K J Somaiya Institute of Management, University of Mumbai and completed his graduation in Mechanical Engineering from VCET, University of Mumbai
Head - Digital Transformation & Customer Analytics
Aditya Birla Group
More than two decades of rich experience in analytical research, teaching, training, consulting, and designing corporate and vocational training programs. A SAS Certified Predictive Modeler who has been conducting SAS Analytics training and consulting across the globe that essentially includes Europe, Asia-Pacific, and Middle-East. He has earned a bachelor’s degree in Mathematics with Statistics and Economics minors, a master’s degree in Statistics, and a Ph. D. in Statistics from the School of Studies in Statistics, Vikram University, Ujjain, India. He has also accomplished some short-term courses in allied areas from ISI-Kolkata and IIM-Ahmedabad. Recipient of the prestigious ‘The US Nair Young Statistician Award’ in the year 2001-02. Having more than 35 publications including research papers in journals of international repute such as the Journal of Statistical Planning and Inference, Communications in Statistics–Theory and Methods, Statistica, Statistical Papers, Vikalpa, etc. He has also co-authored a book titled Randomness and Optimal Estimation in Data Sampling published by American Research Press, Rehoboth, USA
Dr. Sharad Saxena
Statistics, Advanced Analytics & Machine Learning
SAS Global Education
Sri Vallabha is a Principal Data Scientist with Tiger Analytics. As a part of this role, he leads teams solving business problems in various industries like retail, transportation and manufacturing. In past projects at Tiger Analytics he worked on developing Deep Learning models for video analytics and Machine Learning models for anomaly detection & price prediction, Recommendation Systems for retail clients and Natural Language Processing for information processing. His current projects are focussed on Reinforcement Learning and Statistical Testing for Marketing and Promotions. Prior to this, he worked as a Post Doctoral Fellow at IIT Madras in statistical analysis of liquid sprays. His doctoral thesis was on Large Eddy Simulation of Sprays, a branch of Computational Fluid Dynamics. His areas of expertise are machine learning, statistical analysis, reduced order modelling and simulation of physical systems & scientific computing. He holds a B.Tech in Mechanical Engineering from IIT Madras and a Ph.D. in Aerospace Engineering from Indian Institute of Science, Bangalore.
Sri Vallabha Deevi
Principal Data Scientist
Prasad Gaikwad is currently working with a large Tech Consulting Company as part of the Retail Industry Team as well as the Tech Team of Large Data & Analytics Account. As part of the industry team, he has worked with Accenture Leads to help several clients differentiate themselves using tech-powered solutions & business strategies. As part of the Data and Analytics Account, he has developed and implemented cloud migration and optimization strategies, roadmap, and estimates for several data and analytics projects. He has also built several data governances and industry assets, some of which are being considered for patent filing.
He has deep expertise in Management Consulting, Azure Cloud Migration, Data Governance, Data Engineering, Data Analytics, IT Pre-sales, Business Development, Industry Analysis, Company Analysis, Market Research, and Business Analysis.
Business & Integration Arch - Specialist
Retail Industry Team,
Tech Team - Large Data & Analytics Account,
Large Tech Consulting Company
Dhaval has more than 18 years of experience in the digital, analytics, tech & SaaS space. He’s worked with companies like Wipro Technologies, CNBC, Directions and Cartesian Consulting. He was also the founder of Quantas, a tech & analytics firm that offered digital solutions to clients like ICICI Securities, Tata Sky, Inmobi, Saregama, Lawrence & Mayo. He was also the co-founder of Gappmob, a no-code mobile app development platform. Currently, he heads the Asia Pacific & Middle East business for LogiNext - World’s leading logistics automation SaaS platform. He is skilled in Strategy, Business Development, Product management, Digital Marketing, Analytics, Retention Marketing, Customer Relationship Management (CRM) to name a few. He completed his MBA in Marketing from K J Somaiya Institute of Management, University of Mumbai and completed his graduation in Electronics Engineering from RAIT, University of Mumbai
VP - APAC, MEA