Rajeev Ranjan

Rajeev Ranjan brings in 15 years of experience in AI/ML/DS. He has varied experience in implementing AI/ML/DS in domains like CPG, Electronics, Media, Hospitality/Entertainment/Studio, insurance etc.

In his current role in Genpact, he is responsible for leading ML and OR based engagements for various clients. His team is responsible for delivering AI/ML/DS projects by implementing high end ML/OR algorithms/techniques leveraging latest available technology and bringing impactful insights/recommendations for the customers. In the last 15 years, Rajeev has worked in various areas of AI/ML/DS like Market Spend Effectiveness Models, Demand Forecasting, Propensity Modeling/Scoring, Price Promotion Analysis, Work Force Management, Optimization & Simulation, Clustering/Segmentation/classification models, Anomaly Detection, Collaborative Filtering etc. involving structured and unstructured data. Rajeev has a patent in the field of Reinforcement Learning – System And Method For Reinforcement Learning based Onloading Optimization and he holds a Masters in Applied Statistics from IIT Bombay and a Bachelors in Mathematics from ISI (Indian Statistical Institute).