Pradeep Rai

Background

About Pradeep Rai

Skills - Business Intelligence, Data Analytics, Statistical techniques, Visualization Techniques, Big Data Analytics, Reporting and Dash boarding, Data Mining, Data Warehousing, Agile & Scrum, Automation, Machine Learning Techniques & Real Time Reporting. Tools - Excel, VBA, SAS - 9.3, Tableau 2019.1, Python, R, Apache HIVE, Teradata, Toad, SharePoint, PL/SQL, SAS VA, Webfocus, Blue Prism, Business Objects XI, Minitab, 7 QC Tools, DMAIC, DMADV, 5S, 5 Whys, Kaizen, FMEA, DOE, SMED and Kanban. Domain - BFSI, Information Technology, Manufacturing and Healthcare. Experience - Managing design and implementation of reporting frame work on Tableau server including scheduled automatic feed generation on Big Data Platform. Designed reporting framework to refresh feed on a daily basis to improve team’s performance & enabling stakes to make informed decisions. Employing sophisticated analytics programs, machine learning and statistical methods for preparing data to use in predictive and prescriptive modeling applying techniques such as Linear Regression, Logistic Regression, Decision Tree, Naïve Bayes, K-means, KNN and SVM, Apriori. Automated high-risk, manual, rules-based and repetitive tasks and radically improves agility, efficiency, accuracy and compliance Worked on defect reduction to achieve cost reduction, productivity improvements, process efficiency improvements, yield & quality improvements in manufacturing plants of the company. Implemented 5S, 5 Whys, Kaizen, Kano Analysis, DMAIC etc. in different manufacturing & Servicing organizations. Worked as analytics and six sigma consultant to conduct training for a variety of industries and businesses both at their workplaces and at industry conferences.