software engineering practices , data preparation , model development , Machine Learning, MLops, Python, Sql, Feature Engineering, Ai

Machine Learning, Artificial Intelligence, Scala, Deep Learning, Tensorflow, Pytorch, Spark, Information Retrieval, Python, Sequence Modelling, Representation Learning, User Modelling, Recommendation Systems, Transformers

causal inference , Sql, Python, difference-in-differences, synthetic control, uplift modeling, heterogeneous treatment effect estimation, instrumental variables, deep uplift architectures, bandits, propensity weighting, CausalML, causal forests, EconML, DR-learner, reinforcement learning, off-policy evaluation

Deep Learning, Tensorflow, Machine Learning, Pytorch, Artificial Intelligence, Information Retrieval, Python, Scala, Spark, Transformers, User Modelling, Sequence Modelling, Recommendation Systems, Representation Learning