• 11 Years 01 Months of hands-on Machine Learning Development and Software Design of highly scalable, reliable and highly performing application with keen eye on quality and process in Analytics Domain. • Proficiently identified and applied the appropriate data analytics algorithm that can used for the data aggregated (example: Unsupervised Learning: Clustering, factor analysis, association rule mining; Supervised Learning: Classification, Neural Nets, Support Vector Machines, Regression etc) • Experience in Design, development, analysis of applications in big data technologies using Hadoop, HDFS, Hive, Spark & Python • Capable of processing large sets of structured, semi-structured and unstructured Data • Strive to get internally and externally recognized in the area by continuously learning and developing new algorithms in the data science space. • Self motivated and hardworking person who aims at organizational excellence by efficiently managing high performance work system and consistently enhancing own skills in the era of SMAC (Social, Mobile, Analytics & Cloud).