Anagha Rajeev

Designed and deployed scalable machine learning models to solve complex business challenges, improving predictive analytics and decision-making across enterprise applications. Extracted, cleaned, and analyzed large, unstructured datasets from diverse sources to uncover actionable insights and inform business strategy. Built and optimized advanced predictive models for customer segmentation, churn prediction, and sales forecasting, increasing accuracy by 25%. Conducted feature engineering and hyperparameter tuning to enhance the performance of machine learning algorithms. Developed NLP pipelines for text analysis, sentiment detection, and automated document classification. Implemented recommendation systems using collaborative filtering and content-based approaches, enhancing product personalization. Conducted EDA to identify trends and patterns, aiding decision-making. Collaborated with cross-functional teams to define project objectives and deliver insights. Created interactive dashbo

Built customer retention models for auto insurance to optimize retention strategies and reduce churn. Developed claims estimation models for fire and water property loss, improving assessment speed and accuracy. Designed disengagement, attrition risk models, and job code clustering for people analytics. Mentored teams on Agile methodologies facilitating iterative development. Integrated advanced NLP models for summarizing policyholder feedback, reducing call escalations by 18%. Built data lakes in AWS using S3, Glue, and Athena to centralize policyholder data. Conducted time series forecasting for premium income using ARIMA and Prophet models. Led stakeholder workshops aligning analytics with product and underwriting strategies.

Developed Intelligent Collections Engine reducing DSO by 15% across three regions. Built bankruptcy prediction models proactively flagging risk, reducing bad debt by 10%. Optimized logistics costs with Linear Programming, decreasing operational costs by $1M annually. Designed Email Classification NLP model integrated with Salesforce improving SLA compliance. Created CV-based monitoring tool using OpenCV to detect unauthorized use of Visi Coolers. Built customer segmentation models increasing campaign ROI by 21%. Integrated cloud-based data lakes with AWS Lambda and Glue to streamline analytics. Acted as SME for FMCG analytics collaborating with finance and supply chain teams.