causal inference , Machine Learning, Hadoop, Sql, Hive, MLops, Spark, Python, Generative AI, Optimization, Statistical Measurement, Operations Research, AI Engineering, Simulation

data wrangling , data engineering , Github, Pyspark, API design, Sql, Integration, Databricks, Python, Azure DevOps, Forecasting, MLflow, anomaly detection, time series modeling, feature pipeline design, dataset preparation, data quality troubleshooting

causal inference , Machine Learning, data mining, Pattern Recognition, Statistical Algorithms, Difference-in-Differences, statistical models, anomaly detection, Double Machine Learning, propensity methods, synthetic control, econometric methods, classical machine learning

Aws Redshift, Tableau, Sql, Pytorch, Docker, Python, MLops, SAS, Matlab, MLflow, R Shiny, R, AWS QuickSight, AWS SageMaker, Optuna, Generative AI, CI/CD, LLM frameworks

Time Series Analysis, Machine Learning, Neural Networks, Sql, Tensorflow, Numpy, Pandas, Pytorch, Python, scikit-learn, Regression, Statistical Modeling, Boosting, statsmodels

Gcp, Rdf, Neo4j, Azure, Python, AWS, LangChain, Pinecone, LangGraph, Chroma, Transformers, Milvus, Weaviate, LlamaIndex

Tableau, Pyspark, Machine Learning, Hadoop, Sql, Hive, XGBoost, Decision Trees, Excel, Python, GenAI, Powerpoint, Regression