Sourabh Chandel

Led a cross-functional team in developing and optimizing LLMs and GenAI solutions, improving operational efficiency by 75%. Managed team collaboration and guided technical strategies to ensure seamless execution of complex projects. Developed patient switch prediction models with 85% accuracy and 0.91 AUC, and Survival Analysis prediction models using LAAD data.

Led enterprise AI transformation strategy for Fortune 500 clients, defining AI governance and phased deployment roadmaps for production AI environments. Delivered $2M+ in contract wins, including a simulation and distribution optimization platform driving $13.3M in revenue impact and reducing costs by 15%.

Advised pharma clients on multichannel marketing strategy and improved campaign ROI by 20% using attribution modeling and market mix analysis. Mentored junior analysts on modeling methodology and supported marketing spend optimization across digital and traditional channels.

Delivered AI strategy and analytics consulting for Fortune 500 pharma clients across US and EMEA, covering commercial strategy, market access, and clinical AI deployment. Built an oncology patient identification model improving diagnostic accuracy by 92% and developed chronic disease screening models with 90% diagnostic accuracy for clinical decision support.

Provided commercial analytics consulting for major pharma companies across market access, territory strategy, and HCP targeting in Europe and the US. Built probabilistic patient targeting models that increased HCP engagement effectiveness by 22%.

Designed AML and fraud detection models improving accuracy by 25% while reducing false positive rates for major banking clients. Developed customer segmentation and churn reduction strategies delivering 30% campaign ROI improvement and 18% reduced customer attrition.

Established data-driven lending frameworks for retail and SME portfolios and implemented risk scoring systems to reduce loan default rates by 15%. Applied analytics to support lending risk evaluation and portfolio performance improvements.

Developed and deployed ML-based Credit Risk Propensity and Fraud Detection models, improving risk prediction accuracy by 20% and increasing approved loan volumes by $5M. Created a Scenario Simulation Platform for Healthcare & Life Sciences, optimizing distribution strategies and increasing revenue by $13.3M while reducing costs by 15%. Led cross-functional teams to implement machine learning model

Optimized marketing spending for healthcare brand campaigns through Market Mix Modelling, leading to a 20% increase in ROI. Designed and developed predictive models to drive business outcomes, collaborating with clients to create tailored solutions and improving model performance by 18% through feature engineering and hyperparameter tuning.

Analyzed customer behavior and financial needs to develop personalized products, risk models, fraud detection systems, and predictive pricing, enhancing AML compliance through data insights. Reduced Non-Performing Assets (NPAs) from 13% to 8% by developing ML solutions to identify high-risk cohorts. Implemented a retention model for fraud detection, improving early detection by reducing false posi

Delivered advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights, driving US Commercial strategies and ensuring alignment with strategic objectives. Reduced false positives by 92% and improved diagnostic accuracy for oncology care, achieving an F1 score of 0.88 using Random Forest and Gradient Boosting. Improved screening and care accuracy by 90% acr

Increased targeted campaign effectiveness by 30% and reduced churn by 18% by leveraging K-means & hierarchical clustering for customer segmentation. Developed Boosting & Random Forest for predictive models, optimizing loyalty programs and mitigating churn risk.

Contributed to a 15% reduction in default rates and increased loan approval volumes by generating analytical insights and reports focused on lending analytics.

Completed a Bachelor of Engineering in Mechanical Engineering at Rajiv Gandhi Proudyogiki Vishwavidyalaya from 2010 to 2014.

Completed a Bachelor of Engineering degree focusing on Mechanical Engineering. Developed a strong foundation in mechanical design, thermodynamics, and manufacturing processes.

Pursued a Master of Business Administration with a specialization in Finance. Gained expertise in financial management, investment strategies, and corporate finance principles.