GANs (Generative Adversarial Networks, VAEs (Variational Autoencoders, Machine Learning, Advanced Analytics, Deep Learning, Data Manipulation, Python, Statistical Analysis, reinforcement learning, Generative AI

causal inference , Python, Sql, Time Series, Machine Learning, marketing mix modeling, Econometric Modeling, Regression, Hierarchical models

Kubernetes, Sql, Databricks, Deep Learning, Tensorflow, Pyspark, Machine Learning, Pandas, Pytorch, Python, Docker, Scala, Statistics, Feature Engineering, GenAI, Scikit-learn, Optimisation Algorithms, Scalable Workflows, Data Pipelines

Sql, Python, Pandas, XGBoost, Numpy, Machine Learning, Spark, LlamaIndex, MLflow, LangChain, scikit-learn, AWS SageMaker

Python, Sql, R, Statistical Modeling, experimentation design

social listening , Ml, Advanced Analytics, Recommender Systems, Predictive Modeling, Optimization Algorithms, Text Mining, Big Data, Python, statistical analyses, R, Ai

markov chains , Machine Learning, Alteryx, SAS, Access, Tableau, Statistical Inference, Qliksense, Python, Qlikview, Clustering, Sql, R, Feature Engineering, MS-Office, Bayesian Models, Powerpoint, design of experiments, Time Series Forecasting, Project Management, MS Excel VBA, Stochastic models, Statistical Modeling, Dynamic Programming and Optimization, Monte Carlo Simulations

Sql, Information Retrieval, Python, Data Visualization, Machine Learning, MLops, AWS Cloud-Based ML Systems, semantic search, Model Lifecycle Management, Statistical Modeling, Software Engineering Best Practices

Power Bi, Tableau, Azure, Python, Aws, r

data engineering , Machine Learning, Sql, Data Science, DevSecOps, MLops, Azure, Python, AWS, Generative AI, Ai, SAP S 4, CI CD, R