V M Kishore Thadiboyina
About V M Kishore Thadiboyina
V M Kishore Thadiboyina is a Manager in Data Science at LatentView Analytics, where he has worked since 2018. He possesses extensive experience in software development, data integration, and machine learning, having collaborated with notable clients across various sectors.
Work at LatentView Analytics
V M Kishore Thadiboyina has been employed at LatentView Analytics since 2018. He currently holds the position of Manager - Data Science, a role he has occupied since 2022. In this capacity, he leads various data science initiatives and analytics solutions for clients. His work involves integrating data from multiple sources and performing feature engineering for machine learning models. He has contributed to projects for notable clients such as Tesco, UBS, and WW, focusing on sectors like insurance, order management, inventory management, supply chain, and wealth management.
Education and Expertise
V M Kishore Thadiboyina earned a Bachelor of Technology in Mechanical Engineering from Jawaharlal Nehru Technological University. He possesses extensive expertise in predictive machine learning models, including linear-logistic regression, decision trees, random forest, XG-Boost, support vector machines, KNN, clustering analysis, dimensionality reduction, recommendation systems, and ensemble modeling techniques. His proficiency extends to data modeling, data analysis, data mining, machine learning, big data, and NoSQL technologies.
Background
V M Kishore Thadiboyina has a diverse professional background with over 18 years of experience in the technology and analytics sectors. He began his career as a Technical Associate at Tech Mahindra in 2005 and subsequently worked as a Software Engineer at Accenture from 2006 to 2008. He then served as an Associate Project Manager at HCL Technologies from 2010 to 2018 before joining LatentView Analytics. Prior to his current role, he worked as a Senior System Analyst at Sopra Steria.
Project Management Experience
V M Kishore Thadiboyina has practiced both waterfall and agile project management methodologies throughout his career. His experience encompasses planning and leading all phases of the Software Development Life Cycle, including requirements gathering, analysis, design, architecture, construction, testing, deployment, production support transition, and ongoing production support. This comprehensive understanding of project management practices enhances his ability to deliver effective analytics solutions.