causal inference , Machine Learning, Unsupervised Learning, Deep Learning, Git, Numpy, Pandas, XGBoost, Spark, Databricks, Python, Data Strategy, Generative AI, reinforcement learning, Microsoft Foundry, Statistics, Optimization, supervised learning, MLFlow, Mosaic, CatBoost

Machine Learning, Predictive Modeling, Pyspark, Databricks, Python, Sql, explainable ML techniques, model validation, commercial analytics, feature engineering, model performance evaluation

snowflake , Google Cloud Platform, Sql, Databricks, Azure, Python, AWS, AI Agents, MLflow, MLOps practices, Statistics, Machine Learning techniques

Data Science, Linear Regression, Tableau, Tableau Server, Statistical Modelling, Data Analytics, Python, Sql, Causal Inference Modeling, Time Series Modeling, Advanced Statistical Econometrics Models

causal inference , Statistical Analysis, Sql, Numpy, Pandas, Query Optimization, Data Extraction, Python, Variance estimation, Confidence interval modeling, Scikit-Learn, Statsmodels, R, Statistical sampling theory, Clustered experimental design, Multivariate Root Cause Analysis

Tensorflow, Numpy, Git, Pandas, Pytorch, Gcp, Docker, Matplotlib, Azure, Kubernetes, Python, AWS, Airflow, scikit-learn, HuggingFace, MLflow, ML pipelines, Kubeflow

Sql, Tensorflow, Git, Pytorch, Docker, Kubernetes, Python, prompt evaluation methodologies, scikit-learn, LLM prompt engineering, CI CD workflows, MLflow, context engineering