Pyspark, Python, Sql, Analytics, experimentation, BI frameworks, AI-assisted tools, Measurement

data engineering , Spotfire, Machine Learning, Power Bi, Tableau, Sql, MLops, Databricks, Predictive Analytics, Python, Generative AI, Ai, semantic search, Statistical Modeling

Time Series, Sql, Python, R, Bayesian Methods, Hierarchical modeling, Regression, Econometric Modeling

Tensorflow, Pytorch, Docker, Python Programming, Generative AI, LLMs, NLP frameworks, transformer models, scalable ML pipelines, Deep Learning architectures, large datasets, Vector Databases, Text-processing pipelines, Embeddings, distributed processing systems, production deployment practices

Sql, Numpy, Git, REST, Pandas, Docker, XGBoost, Azure, Python, AWS, scikit-learn, LightGBM

multinomial logistic regression, SAS, Tableau, Matlab, Python, Sql, AWS QuickSight, R, causal machine learning, statistical models, R Shiny

Python, Sql, Time-series modelling, Probabilistic forecasting, Optimisation techniques, Regression, Statistical models, ML models

Matplotlib, Machine Learning, Tableau, Sql, Tensorflow, Nosql, Pytorch, Data Visualization, Seaborn, Python, T5, Generative AI, Hugging Face Transformers, Statistics, GPT, R, BERT

data preparation , snowflake , Unix, Random Forest, Neural Networks, Shell scripting, Python, Boosting and bagging methods, Ensemble models, ML libraries, Regression, Advanced ML techniques, Feature engineering, GBM, supervised learning, Distributed data systems, ML pipelines

Nlp, Machine Learning, Statistical Modelling, Python, Generative AI, model validation, R, data exploration, feature engineering, operationalisation