T Pavan Kumar Email and Phone Number

- Managing projects involving planning, data acquisition & extraction, data analysis (quantitative and qualitative), data presentation and reporting; - Developing a comprehensive dashboard for various projects, including several smaller ones. - Monitoring and analysing data, then provide insights through the implementation of Data Mining, Statistical, and Machine Learning solutions such as regression, clustering, and classification. - Utilizing predictive modelling to increase & optimize customer experiences and revenue generation. - Managing end – to- end projects from the stage of initiation till monitoring & control and closure including planning, estimation & scheduling, updating information to all stakeholders, integrating change control, controlling base lines, planning risk responses and contingency planning. - Utilizing statistical tools such as clustering methods for profile studies to categorize performance levels—identifying top performers based on experience, background, and assessments to recommend the best candidates for hiring.

- Established & implemented analytic solutions for cost control through micro-planning of spares, saved approximately Rs. 1 crore annually. - Developed a pod system during the pandemic, minimizing employee exposure and risk of infection with COVID-19. - Applied real-time production delay booking and digital log sheets, converting the manual task of filling log sheets into auto-filled sheets and saving 3 man-hours per day.- Executed a real-time tracker for monitoring production delays, enabling quick action and resulting in a significant improvement in production efficiency, with an increase in production by approximately 100 tons per day. - Implemented Kaizens in the SMS to enhance cost savings and ensure the safety of both employees and machinery, resulting in increased efficiency and productivity.

- Successfully developed and standardized new Standard Operating Procedures (SOPs) to ensure the smooth maintenance of SMS. - Monitored KPIs of 75+ employees in maintenance, preparing weekly reports to provide actionable insights, enabling management to understand the story behind the numbers and patterns in the data.