Balaji R Email & Phone Number

Rogers, Ar, Us

United States

Orchestrated the migration of data analytics platforms to Target, achieving a 30% boost in query performance and supporting a 15% year-over-year growth in marketplace sales.Engineered a cutting-edge predictive model using Python and TensorFlow, enhancing inventory management systems, reducing stock shortages by 25%, and overstock by 40%.Collaborated with cross-functional teams to customize Tableau dashboards, leading to a 20% reduction in decision-making time for marketing campaigns.Initiated and led quarterly analytics workshops for the E-commerce team, improving data literacy and contributing to a 10% increase in data-driven decisions.Automated routine data cleaning processes with SQL and Python scripts, saving approximately 10 hours of manual work per week for the analytics team.Developed a real-time customer segmentation algorithm that personalized marketing efforts, resulting in a 35% uplift in customer engagement metrics.Conducted comprehensive analyses of customer review and feedback data to inform product development, leading to the introduction of 5 top-rated products in the subsequent quarter.

Tamil Nadu, India

Engaged in cross-functional collaboration via emails, meetings, and regular stand-ups to understand data requirements and ensure exceptional user experiences.Managed and optimized large-scale data processing jobs, ensuring efficient and timely data processing.Written and optimized SQL and Spark queries to enhance data processing capabilities and improve performance.Created and maintained data pipelines to extract, transform, and load data from various sources into AWS data storage solutions like S3 and Redshift.Implemented comprehensive data security and compliance measures, including access controls and data governance policies, to safeguard data privacy and protection, ensuring adherence to industry regulations and standards.Utilized AWS data-related services and Data Pipeline for efficient data management and analysis.Developed insightful dashboards and reports using data visualization tools like Tableau and Microsoft Power BI.Collaborated with Data Engineering and Data Science teams to validate data accuracy and provide meaningful insights for decision-making.Documenting data processes, data flows, and technical specifications for future reference.Analyzed Alexa's goal success rate by training and testing machine learning model; improved performance from 88% to 92%Assessed Alexa’s Market performance on AWS by bringing insights on metadata errors and Wake word glitches using Quick Sight, improved Alexa’s performance by 10% with 0.02% error rate.Identified patterns in the training data and proposed automated opportunities that revamped single day work performance by 15%.Conducted regular performance analysis and provided recommendations for continuous improvement.

Master'S Degree, Business Analytics

Bachelor Of Technology - Btech, Electrical, Electronics And Communications Engineering