Rajeshwari U

Leading shift planning, workforce analytics, and operational performance monitoring using Redshift and advanced analytics frameworks. Designing and deploying interactive Tableau dashboards and automated reporting solutions for real-time visibility into KPIs and operational efficiency.

Integrated business problems into data-driven analytical solutions for a leading US retail client, enabling informed marketing and customer engagement strategies. Built CRM targeting models and A/B testing statistical models, and performed NLP-based sentiment analysis.

Developed machine learning and predictive maintenance models using solar and sensor data to forecast battery health and lifecycle performance of Li-ion batteries. Built mathematical and anomaly detection models for irrigation monitoring and deployed scalable analytics on AWS using Docker.

Developed machine learning and predictive maintenance models using solar and sensor data to forecast battery health and lifecycle performance of Li-ion batteries. Built mathematical and anomaly detection models for irrigation monitoring and deployed scalable analytics on AWS using Docker.

Developed Lead Scoring ML models using Logistic Regression and Decision Trees, achieving high prediction accuracy. Delivered model-driven dashboards and mobile sales recommendation solutions, and built automated customer and merchandise analytics solutions including RFM segmentation and churn modelling.

Bachelor of Engineering in Computer Science and Engineering, completed in June 2013.