•Strong proficiency in Python and SQL , with hands-on experience in Scikit-learn, XGBoost/LightGBM and TensorFlow/PyTorch.
•Strong experience building predictive and decisioning models using behavioural, transactional, bureau and other customer data.
•Experience with models/use cases such as Next Best Action, propensity modelling, payment/bounce prediction, customer segmentation, risk or response prediction .
•Hands-on experience taking ML models to production, including validation, monitoring, performance analysis and retraining .
•Strong statistical and modelling discipline, with the ability to identify data leakage, instability, bias and genuine predictive lift .
•Ability to translate ambiguous business problems into end-to-end ML/AI solutions and communicate trade-offs clearly to product, business and engineering teams.
•Working understanding of LLMs and Agentic AI , with the ability to integrate predictive ML models into larger AI/agentic decisioning workflows.
