graph databases , AWS, Sql, Sparql, Machine Learning, Deep Learning, Python, Azure, Gcp, knowledge graphs, RAG pipelines, Cypher, semantic data systems, SAP HANA Cloud, GQL, vector databases, embeddings

prophet , Machine Learning, Scipy, Random Forest, Deep Learning, Tensorflow, Numpy, Pandas, MLops, Pytorch, XGBoost, Arima, Databricks, Python, LSTM, scikit-learn, SARIMA, GRU, Time Series Forecasting, TimeGPT, statsmodels

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

Pyspark, Tensorflow, Pandas, MLops, Pytorch, Azure Data Lake, Spark, Databricks, Python, embeddings, scikit-learn, Hugging Face Transformers, Azure OpenAI Service, model versioning, MLflow, CI CD, Azure AI Foundry, prompt engineering, Unity Catalog, agentic workflows, RAG, drift detection, model monitoring

Github, Pandas, Docker, Python, Forecasting, Demand Planning, Model deployment, Polars, Data processing frameworks, Machine learning models, Forecast accuracy measurement, replenishment, Forecasting algorithms, Data analysis techniques

Power Bi, Tableau, Python, Sql, R, Statistical Modeling

Machine Learning, SAS, Matlab, Python, Sql, GenAI, R, Statistical Modeling, Data Analysis, Llm

Git, Pandas, Numpy, Sql, Python

attribution modeling , Ml, Machine Learning, Pyspark, Neural Networks, Support Vector Machine, Clustering, Sql, Deep Learning, Databricks, Azure, Python, AWS, Ai, DL, Regression, Tree-based algorithms, Classification, Cloud Systems, Recommender System