• Achieved a 20% increase in project efficiency and a 15% reduction in project delivery time.• Successfully completed the SDLC for multiple data analytics solutions, resulting in a 30% improvement in Intelligent Automation processes.• Executed Waterfall project management for large-scale data projects, ensuring a 98% adherence to project timelines.• Demonstrated proficiency in optimizing database management, achieving a 20% improvement in data retrieval processes, and executing efficient ETL processes with Alteryx for a 20% reduction in data processing time.• Leveraged Tableau/Power BI for creating interactive dashboards, resulting in a 25% improvement in data visualization and communication.• Collaborated closely with the digital team, providing valuable support during Oracle Cloud Enterprise Performance Management (EPM) training sessions, and authored a comprehensive process guide for the entire financial planning and analysis team.• As a single point of contact, consistently assisted the team on a daily basis by actively participating in the process of updating all Tableau dashboards across Commercial, G&A, CMC, and R&D functions.• Proficient in Looker for data exploration, improving reporting efficiency by 30%.• Applied critical thinking and problem-solving skills, contributing to a 20% improvement in addressing complex data challenges

• End end-to-end execution of automation projects, resulting in a 40% increase in operational efficiency for Automotive, Non- Automotive, and General Industries.• Directed the design and implementation of robotic inspection stations, reducing inspection time by 20% and improving product quality.• Oversaw the development of automated assembly lines and conveyor systems, optimizing production workflows and reducing cycle times.• Implemented innovative Pick & Place Systems and Gantry solutions, contributing to a 25% reduction in manual handling and assembly errors.• Applied advanced data analytics techniques to extract actionable insights, improving production forecasting accuracy by 20%.• Developed and deployed machine learning models, including logistic regression and decision trees, reducing downtime by 10%.• Conducted thorough data cleaning and mining processes, ensuring the reliability of datasets for decision-making and reporting.• Collaborated with cross-functional teams to integrate predictive analytics, enhancing overall operational efficiency.