causal inference , Sql, Python, difference-in-differences, MILP, uplift modelling, constrained optimisation, observational causal methods, optimising promotions, Lagrangian methods, synthetic control, instrumental variables, deep uplift architectures, propensity weighting, marketing incentives, heterogeneous treatment effect estimation, DR-learner, meta-learners, S T X R causal forests, Pricing

Deep Learning, Nlp, Docker, Data Visualization, AWS, Ml, Machine Learning, Gcp, Network Analysis, Azure, PEFT fine-tuning, document understanding, EU AI Act, NIST AI Risk Framework, HuggingFace Transformers, LangChain, Singapore’s Model AI Governance Framework, Predictive Maintenance, Ai, time series modeling, Gen AI, Agentic AI, Cv, RAG, generative AI models, feature engineering, LlamaIndex

constrained optimization , causal inference , Sql, Python, difference-in-differences, MILP, Lagrangian methods, synthetic control, instrumental variables, propensity weighting, uplift modeling, heterogeneous treatment effect estimation

Dashboards, Data Quality, Data Governance, Python, Sql, analytics best practices, machine learning libraries, data visualisations

Python, Sql

Tensorflow, Pytorch, Python, Machine Learning, Spark, Ray, reinforcement learning